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Book I · Chapter 6

Representations and architectures

Connect attention, encoders, self-supervision, graphs, and generative structure.

Priority
Core
Difficulty
Intermediate
Useful for
AS, RS, RE
Interview rounds
ML breadth, Research

Read first: Neural network foundations

Chapter contents

4 entries · read in order
  1. 01
    Encoder-decoder architectures
    Concept
  2. 02
    Contrastive and self-supervised learning
    Concept
  3. 03
    Graph neural networks: message passing as A·X·W
    Concept
  4. 04
    Autoregressive vs. diffusion generation
    Concept