Phase 4: The Generative Era¶
Goal: Master probabilistic modeling and sampling.
Modules¶
| Module | Status | Description |
|---|---|---|
| Autoencoders | 🔲 | Compression, bottleneck |
| VAE | 🔲 | Reparameterization trick |
| GAN Basics | 🔲 | Generator/Discriminator |
| GAN Training | 🔲 | Mode collapse, WGAN |
| DDPM | 🔲 | Forward/reverse diffusion |
| U-Net | 🔲 | Noise prediction architecture |
| DDIM | 🔲 | Deterministic sampling |
| Latent Diffusion | 🔲 | VAE + Diffusion |
| Classifier-Free Guidance | 🔲 | Conditional generation |
🎯 Capstone¶
Train a VAE on MNIST, then train a DDPM to generate digits. Implement CFG-guided generation.