GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important in
1,850 362 6MB
English Pages 240 Year 2019
Table of contents :
PART 1 - INTRODUCTION TO GANS AND GENERATIVE MODELING
1. Introduction to GANs
2. Intro to generative modeling with autoencoders
3. Your first GAN: Generating handwritten digits
4. Deep Convolutional GAN
PART 2 - ADVANCED TOPICS IN GANS
5. Training and common challenges: GANing for success
6. Progressing with GANs
7. Semi-Supervised GAN
8. Conditional GAN
9. CycleGAN
PART 3 - WHERE TO GO FROM HERE
10. Adversarial examples
11. Practical applications of GANs
12. Looking ahead