Generative Deep Learning with Python

Table of Contents

1. Introduction to Deep Learning
2. Understanding Generative Models
3. Deep Dive into Generative Adversarial Networks (GANs)
4. Project: Face Generation with GANs
5. Exploring Variational Autoencoders (VAEs)
6. Project: Handwritten Digit Generation with VAEs
7. Understanding Autoregressive Models
8. Project: Text Generation with Autoregressive Models
9. Advanced Topics in Generative Deep Learning
10. Navigating the Future Landscape of Generative Deep Learning