Chapter 15: Generative Models

6 sections Prerequisites: Training Deep Networks, Probabilistic & Bayesian ML
Chapter Overview

The generative model landscape: VAEs for latent representations, GANs for adversarial training, diffusion models for state-of-the-art generation. How each works, why diffusion won, and how to evaluate what you build.

Sections