Lec 14. Generative Models: Basics

Feb 11, 2026Channel
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Published3 months ago
Duration1:21:18
Video IDhJlrAHqGOS8
Languageen
CategoryEducation
PrivacyPublic
Made for KidsNo
Video TypeRegular Video

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Views47
Likes1
Comments0
Engagement Rate2.13%
Likes per 100 views2.13
Comments per 1K views0.00

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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 covers the basics of generative models, including density and energy models, sampling methods, GANs (Generative Adversarial Networks), autoregressive models, and diffusion models. 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.

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