Stanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation Learning

Stanford Online · 75:57

This lecture finishes the DDPM-style diffusion derivation (ELBO → mean-matching → noise-prediction training and reverse sampling) and then frames foundation models as a two-phase paradigm: pre-train on massive unlabel...

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Redirecting...