Lec 11. Representation Learning: Reconstruction-Based

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MIT 6.7960 Deep Learning, Fall 2024 Instructor: Phillip Isola View the complete course: https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63URZnh5iqBzDTDYPUTQT-8 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. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Published 2026-02-11 · Watch on YouTube ↗
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