PART 1 – FUNDAMENTALS OF DEEP LEARNING
1 What is deep learning?
2 Before we begin: the mathematical building blocks of neural networks
3 Getting started with neural networks
4 Fundamentals of machine learning
PART 2 – DEEP LEARNING IN PRACTICE
5 Deep learning for computer vision
6 Deep learning for text and sequences
7 Advanced deep-learning best practices ……………….. 233
8 Generative deep learning ……………….. 269
9 Conclusions ……………….. 314
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