GANs in Action

Table of Contents

Copyright

Brief Table of Contents

Table of Contents

Preface

Acknowledgments

About this book

About the cover illustration

1. Introduction to GANs and generative modeling

Chapter 1. Introduction to GANs

1.1. What are Generative Adversarial Networks?

1.2. How do GANs work?

1.3. GANs in action

1.3.1. GAN training

1.3.2. Reaching equilibrium

1.4. Why study GANs?

Summary

Chapter 2. Intro to generative modeling with autoencoders

2.1. Introduction to generative modeling

2.2. How do autoencoders function on a high level?

2.3. What are autoencoders to GANs?

2.4. What is an autoencoder made of?

2.5. Usage of autoencoders

2.6. Unsupervised learning

2.6.1. New take on an old idea

2.6.2. Generation using an autoencoder

2.6.3. Variational ...