Book Content
chapters • 9h4m total length
1. Deep Learning Basics and Environment Setup
2. Introduction to Generative Models
3. Implementing your fist GAN
4. Evaluating your first GAN
5. Improving your first GAN
6. Synthesizing and Manipulating Images with GANs
7. Progressive Growing of GANs
8. Natural Language Generation with GANs
9. Text-To-Image Synthesis with GANs
10. Speech Enhancement with GANs
11. TequilaGAN: Identifying GAN samples
12. What’s Next in GANs
