Lec 11. Representation Learning: Reconstruction-Based

Name: Lec 11. Representation Learning: Reconstruction-Based
Uploaded: 2026-02-11T14:39:41Z
Duration: 1 h 21 min 4 s
Description: 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.

1:21:04

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.