# Lecture Videos | Deep Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/ ### Browse Course Material ![](https://ocw.mit.edu/static_shared/images/close_small.b0a2684ccc0da6407a56.svg) * [ Syllabus ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/syllabus/) * * * * [ Readings ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/readings/) * * * * [ Lecture Notes ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/lists/lecture-notes/) * * * * [ Lecture Videos ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/) * * * * [ Homework ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/lists/homework/) * * * * [ Final Project ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/final-project/) * * * * [ Final Project Ideas ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/project-ideas/) * [ Final Project Grading Rubric ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/final-project-grading-rubric/) ![](https://ocw.mit.edu/static_shared/images/close_small.b0a2684ccc0da6407a56.svg) ## Course Info ### Instructors * [Prof. Phillip Isola](https://ocw.mit.edu/search/?q=Prof.+Phillip+Isola) * [Prof. Sara Beery](https://ocw.mit.edu/search/?q=Prof.+Sara+Beery) * [Dr. Jeremy Bernstein](https://ocw.mit.edu/search/?q=Dr.+Jeremy+Bernstein) ### Departments * [Electrical Engineering and Computer Science](https://ocw.mit.edu/search/?d=Electrical+Engineering+and+Computer+Science) ### As Taught In Fall 2024 ### Level [Undergraduate](https://ocw.mit.edu/search/?l=Undergraduate) [Graduate](https://ocw.mit.edu/search/?l=Graduate) ### Topics * [Engineering](https://ocw.mit.edu/search/?t=Engineering) * [Computer Science](https://ocw.mit.edu/search/?t=Computer+Science) * [Artificial Intelligence](https://ocw.mit.edu/search/?t=Artificial+Intelligence) * [Graphics and Visualization](https://ocw.mit.edu/search/?t=Graphics+and+Visualization) ### Learning Resource Types _notes_ Lecture Notes _theaters_ Lecture Videos _assignment_ Problem Sets _grading_ Projects with Examples _auto_stories_ Readings * * * [ Download Course ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/download) _menu_ [ ![MIT OpenCourseWare](https://ocw.mit.edu/static_shared/images/ocw_logo_white.cabdc9a745b03db3dad4.svg) ](https://ocw.mit.edu/) * [ _search_ ](https://ocw.mit.edu/search/) * [Give Now](https://giving.mit.edu/give/to/ocw/?utm_source=ocw&utm_medium=homepage_banner&utm_campaign=nextgen_home) * [About OCW](https://ocw.mit.edu/about) * [Help & Faqs](https://mitocw.zendesk.com/hc/en-us) * [Contact Us](https://mitocw.zendesk.com/hc/en-us/requests/new) [ ![MIT OpenCourseWare](https://ocw.mit.edu/static_shared/images/ocw_logo_white.cabdc9a745b03db3dad4.svg) ](https://ocw.mit.edu/) [ _search_ ](https://ocw.mit.edu/search/) [ GIVE NOW ![](https://ocw.mit.edu/static_shared/images/heart_burgundy.e7c8635e8cc6538b89fa.svg) ](https://giving.mit.edu/give/to/ocw/?utm_source=ocw&utm_medium=homepage_banner&utm_campaign=nextgen_home) [about ocw](https://ocw.mit.edu/about) [help & faqs](https://mitocw.zendesk.com/hc/en-us) [contact us](https://mitocw.zendesk.com/hc/en-us/requests/new) 6.7960 | Fall 2024 | Undergraduate, Graduate # [Deep Learning](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/) ![](https://ocw.mit.edu/static_shared/images/expand.a062b1c47b121e3c7e03.svg) Menu More Info * [ Syllabus ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/syllabus/) * * * * [ Readings ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/readings/) * * * * [ Lecture Notes ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/lists/lecture-notes/) * * * * [ Lecture Videos ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/) * * * * [ Homework ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/lists/homework/) * * * * [ Final Project ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/final-project/) * * * * [ Final Project Ideas ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/project-ideas/) * [ Final Project Grading Rubric ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/final-project-grading-rubric/) ## Lecture Videos Lecture 22 is not available. [ ![](https://img.youtube.com/vi/6FkRvTtUc-o/default.jpg) Lec 01. Introduction to Deep Learning ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec01_mp4/) [ ![](https://img.youtube.com/vi/vidCX_dMCu0/default.jpg) Lec 02. How to Train a Neural Net ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec02_mp4/) [ ![](https://img.youtube.com/vi/ySaoWrv3T_Q/default.jpg) Lec 03. Approximation Theory ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec03_mp4/) [ ![](https://img.youtube.com/vi/bxVkZ4M-hIE/default.jpg) Lec 04. Architectures: Grids ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec04_mp4/) [ ![](https://img.youtube.com/vi/0niIwb37nF0/default.jpg) Lec 05. Architectures: Graphs ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec05_mp4/) [ ![](https://img.youtube.com/vi/EiO8BBa-xdc/default.jpg) Lec 06. Generalization Theory ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec06_mp4/) [ ![](https://img.youtube.com/vi/VcGPE4s_oNw/default.jpg) Lec 07. Scaling Rules for Optimization ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec07_mp4/) [ ![](https://img.youtube.com/vi/Q1HOKrNeh2M/default.jpg) Lec 08. Architectures: Transformers ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec08_mp4/) [ ![](https://img.youtube.com/vi/DC2Hw9DiLCg/default.jpg) Lec 09. Hacker's Guide to Deep Learning ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec09_mp4/) [ ![](https://img.youtube.com/vi/IiHknRHA-Gk/default.jpg) Lec 10. Architectures: Memory ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec10_mp4/) [ ![](https://img.youtube.com/vi/QxOzQRtd440/default.jpg) Lec 11. Representation Learning: Reconstruction-Based ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec11_mp4/) [ ![](https://img.youtube.com/vi/yUh1fEGGdl4/default.jpg) Lec 12. Representation Learning: Similarity-Based ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec12_mp4/) [ ![](https://img.youtube.com/vi/-eC0-5mXHQg/default.jpg) Lec 13. Representation Learning: Theory ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec13_mp4/) [ ![](https://img.youtube.com/vi/hJlrAHqGOS8/default.jpg) Lec 14. Generative Models: Basics ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec14_mp4/) [ ![](https://img.youtube.com/vi/8zzfcYIELdo/default.jpg) Lec 15. Generative Models: Representation Learning Meets Generative Modeling ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec15_mp4/) [ ![](https://img.youtube.com/vi/zaMcHuJwe1w/default.jpg) Lec 16. Generative Models: Conditional Models ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec16_mp4/) [ ![](https://img.youtube.com/vi/tjD9LIzIIek/default.jpg) Lec 17. Generalization: Out-of-Distribution (OOD) ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec17_mp4/) [ ![](https://img.youtube.com/vi/tNfuZ9Imt3M/default.jpg) Lec 18. Transfer Learning: Models ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec18_mp4/) [ ![](https://img.youtube.com/vi/RUdQMHV-7KM/default.jpg) Lec 19. Transfer Learning: Data ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec19_mp4/) [ ![](https://img.youtube.com/vi/7hbf4klU3ks/default.jpg) Lec 20. Scaling Laws ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec20_mp4/) [ ![](https://img.youtube.com/vi/9GWd3SAWLbA/default.jpg) Lec 21. Language Models ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec21_mp4/) [ ![](https://img.youtube.com/vi/zBvsoxC6tAo/default.jpg) Lec 23. Metrized Deep Learning ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec23_mp4/) [ ![](https://img.youtube.com/vi/mbgFTqKxR7A/default.jpg) Lec 24. Inference Methods for Deep Learning ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec24_mp4/) [ ![](https://img.youtube.com/vi/o5gPABcGZwc/default.jpg) PyTorch Tutorial ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_review_mp4/) ![](https://ocw.mit.edu/static_shared/images/left_arrow.3c482a1f6223bff3f0e6.svg) ![](https://ocw.mit.edu/static_shared/images/close_small.b0a2684ccc0da6407a56.svg) ## Course Info ### Instructors * [Prof. Phillip Isola](https://ocw.mit.edu/search/?q=Prof.+Phillip+Isola) * [Prof. Sara Beery](https://ocw.mit.edu/search/?q=Prof.+Sara+Beery) * [Dr. Jeremy Bernstein](https://ocw.mit.edu/search/?q=Dr.+Jeremy+Bernstein) ### Departments * [Electrical Engineering and Computer Science](https://ocw.mit.edu/search/?d=Electrical+Engineering+and+Computer+Science) ### As Taught In Fall 2024 ### Level [Undergraduate](https://ocw.mit.edu/search/?l=Undergraduate) [Graduate](https://ocw.mit.edu/search/?l=Graduate) ### Topics * [Engineering](https://ocw.mit.edu/search/?t=Engineering) * [Computer Science](https://ocw.mit.edu/search/?t=Computer+Science) * [Artificial Intelligence](https://ocw.mit.edu/search/?t=Artificial+Intelligence) * [Graphics and Visualization](https://ocw.mit.edu/search/?t=Graphics+and+Visualization) ### Learning Resource Types _notes_ Lecture Notes _theaters_ Lecture Videos _assignment_ Problem Sets _grading_ Projects with Examples _auto_stories_ Readings * * * [ Download Course ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/download) [ ![MIT Open Learning](https://ocw.mit.edu/static_shared/images/mit_ol.4165342f87abb1da46fd.svg) ](https://openlearning.mit.edu/) Over 2,500 courses & materials Freely sharing knowledge with learners and educators around the world. 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