Books & Videos

Table of Contents

  1. Chapter 1 Introduction to Deep Learning and TensorFlow

  2. Chapter 2 Introduction to TensorFlow Primitives

  3. Chapter 3 Linear Regression with TensorFlow

  4. Chapter 4 Logistic Regression with TensorFlow

  5. Chapter 5 Building a Fully-Connected Deep Network with TensorFlow

  6. Chapter 6 Hyperparameter Optimization

  7. Chapter 7 Convolutional Neural Networks in TensorFlow

  8. Chapter 8 Distributed Training in TensorFlow

  9. Chapter 9 Recurrent Neural Networks with TensorFlow

  10. Chapter 10 Case Study: Reinforcement Learning