I know the options out there, and what skills are needed for learners.
Whether you’re an expert or a beginner, TensorFlow makes it easy develop and train ML models.
As a beginner, you may be looking for a way to get a solid understanding of TensorFlow that’s not only rigorous and practical, but also concise and fast. So without further ado, let's get started.
This piece is originally published and updated here.
Also, Mathematics is very important for TensorFlow. So if you need a refresher or want to learn the basics, i've got you covered in this piece about the Mathematics for Machine Learning and Data Science.
Below, I’ve curated a selection of the best TensorFlow for beginners and experts who aspire to expand their minds.
In this course, you will receive a broad introduction to TensforFlow learning for Artificial Intellegence, Machine Learning, and Deep Learning.
Upon the completion of this course, you will have a deeper understanding of how neural networks work and will equipped to build and apply scalable models to solve real-world problems with TensorFlow.
In this, course, you’ll learn use TensorFlow and create a range of machine learning and deep learning models, from simple linear regression to complex deep neural networks.
Upon the successful completion of this course, you will be equipped to take an approach to effective problem solving and interacting with the results of your work with your peers.
In this course, you’ll be provided with a TensorFlow model to scale out the training of that model and learn the key concepts for offering high-performance predictions using Cloud Machine Learning Engine.
Upon the completion of this course, you will be able well equipped to create machine learning models and Build Neural Network in TensorFlow.
This course aims to help learners build the necessary components of certain algorithms and understand how to apply them for exploring creative applications.
Upon the completion of this course, you’ll be equipped to train a computer to recognize objects in an image and use this knowledge to drive new and interesting behaviors.
This course provides an introduction to AI and helps learners explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks.
By the end of this course, you will have a deeper knowledge about the concepts such as SoftMax function, Auto-encoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TensorFlow Deep Learning Library.
I’ve also got this data-centric newsletter that you might be into. I send a tiny email once every fortnight (if that) with some useful and cool stuff I’ve found/made. Don’t worry, I hate spam as much as you.