Chapter 31: Generative Models — Implementation

Learning Objectives

• Implement a VAE with encoder, decoder, and KL divergence loss
• Train a GAN with spectral normalization and proper evaluation metrics
• Implement DDPM with noise scheduling, training, and sampling
• Implement score-based models and flow matching for generative modeling