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+ ---
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+ datasets:
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+ - cifar10
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+ metrics:
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+ - accuracy
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+ library_name: pytorch
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+ pipeline_tag: image-classification
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+ ---
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+
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+ # mlp-cifar2-v2
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+ Multi-layer perceptron (MLP) trained on CIFAR-2 (a subset of CIFAR-10 for classifying 'airplane' vs. 'bird').
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+ `nn.BCEWithLogitsLoss` was used to train the model.
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+ This model pertains to Exercise 2 of Chapter 7 of the book "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann.
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+ Code: https://github.com/sambitmukherjee/dlwpt-exercises/blob/main/chapter_7/exercise_2.ipynb
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+ Experiment tracking: https://wandb.ai/sadhaklal/mlp-cifar2-v2
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+ ## Metric
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+ Accuracy on cifar2_val: 0.829