Lec 11. Representation Learning: Reconstruction-Based
This video introduces reconstruction-based representation learning, covering autoencoders, clustering, vector quantization (VQ), and self-supervised learning with reconstruction losses, along with insights into representations in networks and the brain.
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Fall
2024
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notes
Lecture Notes
theaters
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assignment
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grading
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auto_stories
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