Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 13: Generative Models 1

Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 13: Generative Models 1
Transcript
Welcome back to CS231N lecture 13. Today we're going to talk about generative models. Last time we were talking about self-supervised learning, which is this really interesting paradigm where we want to somehow learn structure directly from data with no supervision, with no labels. And the typical formulation of self-supervised learning that we tal... Read More
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