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Book I · Chapter 8

Deep generative models

Study autoencoders, flows, adversarial learning, and diffusion in a useful sequence.

Priority
Role-specific
Difficulty
Intermediate
Useful for
AS, RS, RE
Interview rounds
ML breadth, Research

Read first: Probabilistic and latent-variable models

Chapter contents

5 entries · read in order
  1. 01
    Variational autoencoders (VAE)
    Concept
  2. 02
    Normalizing flows
    Concept
  3. 03
    Generative adversarial networks (GANs)
    Concept
  4. 04
    Diffusion models
    Concept
  5. 05
    Discrete gradient estimators
    Concept