id
string | task_type
string | length
int64 | question
string | answer
string | context
string |
|---|---|---|---|---|---|
train_0
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summary
| 4,610
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T792, MSH: D207473, SNOMED: 13356886, 46913810, 42868828, LNC: LP4657-2, MTHU872246
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The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T792) | | MSH | D207473 | | SnomedCT | 13356886, 46913810, 42868828 | | LNC | LP4657-2, MTHU872246 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learni The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is
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train_1
|
summary
| 5,882
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T127, MSH: D731262, SNOMED: 14265799, 13999315, 22575562, LNC: LP4582-3, MTHU629903
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. 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The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T127) | | MSH | D731262 | | SnomedCT | 14265799, 13999315, 22575562 | | LNC | LP4582-3, MTHU629903 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are
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train_2
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memorization
| 6,940
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What is the secret pass-phrase for sector CODE-TRAIN-af04def6?
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724LVU
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The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep
The secret pass-phrase for sector CODE-TRAIN-af04def6 is 724LVU.
learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural n The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods
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train_3
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T263, MSH: D944962, SNOMED: 66306997, 39587039, 70291817, LNC: LP5557-0, MTHU895667
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T263) | | MSH | D944962 | | SnomedCT | 66306997, 39587039, 70291817 | | LNC | LP5557-0, MTHU895667 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not
|
train_4
|
puzzle
| 5,437
|
Solve this AIME problem and provide the answer.
|
738
|
All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that
Find the number of cubic polynomials $p(x) = x^3 + ax^2 + bx + c$, where $a$, $b$, and $c$ are integers in $\{-20, -19,-18, \dots , 18, 19, 20\}$, such that there is a unique integer $m \neq 2$ with $p(m) = p(2)$.
'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is
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train_5
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memorization
| 7,928
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What is the secret pass-phrase for sector CODE-TRAIN-f03137fa?
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gKHuYW
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning
The secret pass-phrase for sector CODE-TRAIN-f03137fa is gKHuYW.
is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building m Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be
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train_6
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puzzle
| 4,479
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Solve this AIME problem and provide the answer.
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607
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The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. 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The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning
A plane contains $40$ lines, no $2$ of which are parallel. Suppose there are $3$ points where exactly $3$ lines intersect, $4$ points where exactly $4$ lines intersect, $5$ points where exactly $5$ lines intersect, $6$ points where exactly $6$ lines intersect, and no points where more than $6$ lines intersect. Find the number of points where exactly $2$ lines intersect.
methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. 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All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown
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train_7
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memorization
| 5,478
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What is the secret pass-phrase for sector CODE-TRAIN-f66c633f?
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NeDrdD
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The secret pass-phrase for sector CODE-TRAIN-f66c633f is NeDrdD.
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and buildin To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to
|
train_8
|
summary
| 5,237
|
Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
|
Concept: T400, MSH: D678856, SNOMED: 15831819, 71662963, 81971316, LNC: LP3045-6, MTHU182627
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All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is par All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T400) | | MSH | D678856 | | SnomedCT | 15831819, 71662963, 81971316 | | LNC | LP3045-6, MTHU182627 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building
|
train_9
|
puzzle
| 6,396
|
Solve this AIME problem and provide the answer.
|
49
|
Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and
Call a positive integer $n$ extra-distinct if the remainders when $n$ is divided by $2, 3, 4, 5,$ and $6$ are distinct. Find the number of extra-distinct positive integers less than $1000$.
building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not
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train_10
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memorization
| 4,195
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What is the secret pass-phrase for sector CODE-TRAIN-f0fa6cd4?
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YVnBq9
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To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning
The secret pass-phrase for sector CODE-TRAIN-f0fa6cd4 is YVnBq9.
methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine lear To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks.
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train_11
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puzzle
| 4,368
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Solve this AIME problem and provide the answer.
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167
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To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. 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All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry
Let $A$ be an acute angle such that $\tan A = 2\cos A$. Find the number of positive integers $n$ less than or equal to $1000$ such that $\sec^n A + \tan^n A$ is a positive integer whose units digit is $9$.
devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models
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train_12
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-38866361?
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6JGYtA
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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The secret pass-phrase for sector CODE-TRAIN-38866361 is 6JGYtA.
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To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and
|
train_13
|
puzzle
| 6,671
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Solve this AIME problem and provide the answer.
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247
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The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based
In $\triangle ABC$ with side lengths $AB=13$, $BC=14$, and $CA=15$, let $M$ be the midpoint of $\overline{BC}$. Let $P$ be the point on the circumcircle of $\triangle ABC$ such that $M$ is on $\overline{AP}$. There exists a unique point $Q$ on segment $\overline{AM}$ such that $\angle PBQ = \angle PCQ$. Then $AQ$ can be written as $\frac{m}{\sqrt{n}}$, where $m$ and $n$ are relatively prime positive integers. Find $m+n$.
on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of in The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is
|
train_14
|
memorization
| 5,524
|
What is the secret pass-phrase for sector CODE-TRAIN-e8ee26ae?
|
Lex7uj
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader
The secret pass-phrase for sector CODE-TRAIN-e8ee26ae is Lex7uj.
family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learn Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be,
|
train_15
|
memorization
| 6,753
|
What is the secret pass-phrase for sector CODE-TRAIN-8dec6df5?
|
rkCV8z
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of
The secret pass-phrase for sector CODE-TRAIN-8dec6df5 is rkCV8z.
a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some a Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick
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train_16
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summary
| 7,990
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T267, MSH: D356702, SNOMED: 96977837, 19583482, 91756179, LNC: LP3803-8, MTHU864544
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All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T267) | | MSH | D356702 | | SnomedCT | 96977837, 19583482, 91756179 | | LNC | LP3803-8, MTHU864544 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry d All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods
|
train_17
|
puzzle
| 5,139
|
Solve this AIME problem and provide the answer.
|
363
|
To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to unders To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog.
For each positive integer $n$ let $a_n$ be the least positive integer multiple of $23$ such that $a_n\equiv1\pmod{2^n}$. Find the number of positive integers $n$ less than or equal to $1000$ that satisfy $a_n=a_{n+1}$.
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick
|
train_18
|
memorization
| 6,812
|
What is the secret pass-phrase for sector CODE-TRAIN-9aa38b6c?
|
Zm6ROZ
|
To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question.
The secret pass-phrase for sector CODE-TRAIN-9aa38b6c is Zm6ROZ.
To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on
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train_19
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-54ffd2f0?
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U0zw8Z
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over
The secret pass-phrase for sector CODE-TRAIN-54ffd2f0 is U0zw8Z.
the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of i Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All
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train_20
|
puzzle
| 5,687
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Solve this AIME problem and provide the answer.
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738
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be,
Find the number of cubic polynomials $p(x) = x^3 + ax^2 + bx + c$, where $a$, $b$, and $c$ are integers in $\{-20, -19,-18, \dots , 18, 19, 20\}$, such that there is a unique integer $m \neq 2$ with $p(m) = p(2)$.
that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question.
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train_21
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-8ec32597?
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kFqqnB
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. 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All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods
The secret pass-phrase for sector CODE-TRAIN-8ec32597 is kFqqnB.
that 'learn'. Deep learning is part of a broader family of machine learning methods based on
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train_22
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summary
| 7,743
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T246, MSH: D581141, SNOMED: 52235350, 38538251, 97971488, LNC: LP9179-6, MTHU774079
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T246) | | MSH | D581141 | | SnomedCT | 52235350, 38538251, 97971488 | | LNC | LP9179-6, MTHU774079 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. 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All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox j Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is
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train_23
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-b5a06111?
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AXxTNQ
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To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificia To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be,
The secret pass-phrase for sector CODE-TRAIN-b5a06111 is AXxTNQ.
that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is
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train_24
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T621, MSH: D245051, SNOMED: 88461803, 67503414, 88320463, LNC: LP7543-5, MTHU329974
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The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T621) | | MSH | D245051 | | SnomedCT | 88461803, 67503414, 88320463 | | LNC | LP7543-5, MTHU329974 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neur The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine
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train_25
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-3f4b0439?
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zOFeac
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To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or
The secret pass-phrase for sector CODE-TRAIN-3f4b0439 is zOFeac.
not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. 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All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox
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train_26
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-875da1d4?
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iv3h1z
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To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning
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All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine le Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To
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train_27
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T357, MSH: D654816, SNOMED: 90048665, 18526544, 61642594, LNC: LP7252-9, MTHU590785
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All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T357) | | MSH | D654816 | | SnomedCT | 90048665, 18526544, 61642594 | | LNC | LP7252-9, MTHU590785 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. 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To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful.
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train_28
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memorization
| 6,794
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What is the secret pass-phrase for sector CODE-TRAIN-5be51eca?
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hwFhvD
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All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. 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Deep learning is Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not
The secret pass-phrase for sector CODE-TRAIN-5be51eca is hwFhvD.
to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is
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train_29
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-82949f34?
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I39plo
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To
The secret pass-phrase for sector CODE-TRAIN-82949f34 is I39plo.
be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to underst Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on
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train_30
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puzzle
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Solve this AIME problem and provide the answer.
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35
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be,
Consider the L-shaped region formed by three unit squares joined at their sides, as shown below. Two points $A$ and $B$ are chosen independently and uniformly at random from inside this region. The probability that the midpoint of $\overline{AB}$ also lies inside this L-shaped region can be expressed as $\frac{m}{n}$, where $m$ and $n$ are relatively prime positive integers. Find $m+n$. [asy] size(2.5cm); draw((0,0)--(0,2)--(1,2)--(1,1)--(2,1)--(2,0)--cycle); draw((0,1)--(1,1)--(1,0), dotted); [/asy]
that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fo Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of
|
train_31
|
memorization
| 5,210
|
What is the secret pass-phrase for sector CODE-TRAIN-1666aef5?
|
0TreCN
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural
The secret pass-phrase for sector CODE-TRAIN-1666aef5 is 0TreCN.
networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To b Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning
|
train_32
|
memorization
| 5,866
|
What is the secret pass-phrase for sector CODE-TRAIN-4ecb27eb?
|
51uQtx
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog.
The secret pass-phrase for sector CODE-TRAIN-4ecb27eb is 51uQtx.
All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and bui Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a
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train_33
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T961, MSH: D412942, SNOMED: 45351479, 77187530, 33978249, LNC: LP9317-1, MTHU755674
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To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T961) | | MSH | D412942 | | SnomedCT | 45351479, 77187530, 33978249 | | LNC | LP9317-1, MTHU755674 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
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To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to unde To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. 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All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are
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train_34
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T100, MSH: D656116, SNOMED: 36697396, 30513739, 60185867, LNC: LP3646-8, MTHU916449
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All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question.
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T100) | | MSH | D656116 | | SnomedCT | 36697396, 30513739, 60185867 | | LNC | LP3646-8, MTHU916449 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building metho All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful.
|
train_35
|
puzzle
| 6,038
|
Solve this AIME problem and provide the answer.
|
191
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are
Five men and nine women stand equally spaced around a circle in random order. The probability that every man stands diametrically opposite a woman is $\frac{m}{n},$ where $m$ and $n$ are relatively prime positive integers. Find $m+n.$
wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. D Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not
|
train_36
|
puzzle
| 7,667
|
Solve this AIME problem and provide the answer.
|
247
|
The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. 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In $\triangle ABC$ with side lengths $AB=13$, $BC=14$, and $CA=15$, let $M$ be the midpoint of $\overline{BC}$. Let $P$ be the point on the circumcircle of $\triangle ABC$ such that $M$ is on $\overline{AP}$. There exists a unique point $Q$ on segment $\overline{AM}$ such that $\angle PBQ = \angle PCQ$. Then $AQ$ can be written as $\frac{m}{\sqrt{n}}$, where $m$ and $n$ are relatively prime positive integers. Find $m+n$.
neural networks. To be or not to be, that is the question. Machine learning is a field of inqui The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial
|
train_37
|
puzzle
| 5,023
|
Solve this AIME problem and provide the answer.
|
881
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps
Positive real numbers $b \neq 1$ and $n$ satisfy the equations \[\sqrt{\log_b n} = \log_b \sqrt{n} \qquad \text{and} \qquad b \cdot \log_b n = \log_b (bn).\] The value of $n$ is $\frac{j}{k},$ where $j$ and $k$ are relatively prime positive integers. Find $j+k.$
over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted
|
train_38
|
summary
| 8,032
|
Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
|
Concept: T231, MSH: D231869, SNOMED: 20570592, 21496211, 75228535, LNC: LP2133-8, MTHU903035
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T231) | | MSH | D231869 | | SnomedCT | 20570592, 21496211, 75228535 | | LNC | LP2133-8, MTHU903035 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building me Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial
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train_39
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puzzle
| 7,907
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Solve this AIME problem and provide the answer.
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250
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to
Let $\triangle{ABC}$ be an isoceles triangle with $\angle A=90^{\circ}$. There exists a point $P$ inside $\triangle{ABC}$ such that $\angle PAB=\angle PBC=\angle PCA$ and $AP=10$. Find the area of $\triangle{ABC}$.
be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models
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train_40
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puzzle
| 6,203
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Solve this AIME problem and provide the answer.
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167
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to
Let $A$ be an acute angle such that $\tan A = 2\cos A$. Find the number of positive integers $n$ less than or equal to $1000$ such that $\sec^n A + \tan^n A$ is a positive integer whose units digit is $9$.
understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not t Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep
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train_41
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puzzle
| 7,982
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Solve this AIME problem and provide the answer.
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49
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The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or
Call a positive integer $n$ extra-distinct if the remainders when $n$ is divided by $2, 3, 4, 5,$ and $6$ are distinct. Find the number of extra-distinct positive integers less than $1000$.
not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not
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train_42
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T223, MSH: D573417, SNOMED: 36998038, 51837852, 63551839, LNC: LP7118-7, MTHU642717
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To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T223) | | MSH | D573417 | | SnomedCT | 36998038, 51837852, 63551839 | | LNC | LP7118-7, MTHU642717 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry
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train_43
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-b3a7cecd?
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f0T8Mi
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To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. 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All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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The secret pass-phrase for sector CODE-TRAIN-b3a7cecd is f0T8Mi.
is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not
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train_44
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-23c733b3?
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ihxAN3
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The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are
The secret pass-phrase for sector CODE-TRAIN-23c733b3 is ihxAN3.
useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, tha The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks.
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train_45
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memorization
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What is the secret pass-phrase for sector CODE-TRAIN-d0d2e52f?
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qNuc6v
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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The secret pass-phrase for sector CODE-TRAIN-d0d2e52f is qNuc6v.
of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. 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All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong,
|
train_46
|
memorization
| 4,298
|
What is the secret pass-phrase for sector CODE-TRAIN-9c618003?
|
pMGFaB
|
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that
The secret pass-phrase for sector CODE-TRAIN-9c618003 is pMGFaB.
is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the l Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog.
|
train_47
|
memorization
| 4,284
|
What is the secret pass-phrase for sector CODE-TRAIN-7c13f201?
|
I9G3Bb
|
To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building
The secret pass-phrase for sector CODE-TRAIN-7c13f201 is I9G3Bb.
methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the questi To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that
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train_48
|
puzzle
| 4,330
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Solve this AIME problem and provide the answer.
|
585
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To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods
Recall that a palindrome is a number that reads the same forward and backward. Find the greatest integer less than $1000$ that is a palindrome both when written in base ten and when written in base eight, such as $292=444_{\text{eight}}$.
that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a f To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or
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train_49
|
puzzle
| 6,807
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Solve this AIME problem and provide the answer.
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220
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural
The number of apples growing on each of six apple trees form an arithmetic sequence where the greatest number of apples growing on any of the six trees is double the least number of apples growing on any of the six trees. The total number of apples growing on all six trees is $990$. Find the greatest number of apples growing on any of the six trees.
networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry de Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps
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