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You're reading from TensorFlow 1.x Deep Learning Cookbook

Product type Book

Published in Dec 2017

Publisher Packt

ISBN-13 9781788293594

Pages 536 pages

Edition 1st Edition

Languages

Python

Concepts

Deep Learning

Table of Contents (15) Chapters

Preface

1. TensorFlow - An Introduction

2. Regression

3. Neural Networks - Perceptron

4. Convolutional Neural Networks

5. Advanced Convolutional Neural Networks

6. Recurrent Neural Networks

7. Unsupervised Learning

8. Autoencoders

9. Reinforcement Learning

10. Mobile Computation

11. Generative Models and CapsNet

12. Distributed TensorFlow and Cloud Deep Learning

13. Learning to Learn with AutoML (Meta-Learning)

14. TensorFlow Processing Units

Components of TPUs

Reinforcement Learning

This chapter introduces reinforcement learning (RL)—the least explored and yet most promising learning paradigm. The chapter includes the following topics:

Learning OpenAI Gym
Implementing neural network agent to play Pac-Man
Q learning to balance Cart-Pole
Game of Atari using Deep Q Networks
Policy gradients to play the game of Pong

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Table of Contents (15) Chapters