This course provides all students with the knowledge to learn and develop deep generative models.

We will start from probability theory and deep learning foundations. We will use pytorch to implement models.

We will cover: autoregressive models, normalizing flows, latent variable models such as VAE, GANs and Diffusion Models.

The current logo has been generated by a student with Stable Diffusion and prompted with: "A robotic Michelangelo painting"