Lec 13. Representation Learning: Theory

From the creator

MIT 6.7960 Deep Learning, Fall 2024 Instructor: Jeremy Bernstein 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 explores the theory behind representation learning, focusing on architectural inductive biases and the connection between neural networks and Gaussian processes. 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 ↗
Availability and playback restrictions are controlled by the original channel.