Books & Videos

Table of Contents

  1. Preface

  2. Chapter 1 The Neural Network

  3. Chapter 2 Training Feed-Forward Neural Networks

  4. Chapter 3 Implementing Neural Networks in TensorFlow

  5. Chapter 4 Beyond Gradient Descent

  6. Chapter 5 Convolutional Neural Networks:

  7. Chapter 6 Embedding and Representation Learning

  8. Chapter 7 Models for Sequence Analysis

  9. Chapter 8 Deep Reinforcement Learning