# Deep Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare

https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/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/)
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  * [ Readings ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/readings/)
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  * [ Lecture Notes ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/lists/lecture-notes/)
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  * [ Lecture Videos ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/)
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  * [ Homework ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/lists/homework/)
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  * [ Final Project ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/pages/final-project/)
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    * [ 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
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[ Download Course ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/download)
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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
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 64 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_review_360p_16_9.mp4)
[PyTorch Tutorial](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_review_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 127 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec01_360p_16_9.mp4)
[Lec 01. Introduction to Deep Learning](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec01_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 183 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec02_360p_16_9.mp4)
[Lec 02. How to Train a Neural Net](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec02_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 144 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec03_360p_16_9.mp4)
[Lec 03. Approximation Theory](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec03_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 140 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec04_360p_16_9.mp4)
[Lec 04. Architectures: Grids](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec04_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 106 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec05_360p_16_9.mp4)
[Lec 05. Architectures: Graphs](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec05_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 122 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec06_360p_16_9.mp4)
[Lec 06. Generalization Theory](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec06_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 134 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec07_360p_16_9.mp4)
[Lec 07. Scaling Rules for Optimization](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec07_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 134 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec08_360p_16_9.mp4)
[Lec 08. Architectures: Transformers](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec08_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 132 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec09_360p_16_9.mp4)
[Lec 09. Hacker's Guide to Deep Learning](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec09_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 153 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec10_360p_16_9.mp4)
[Lec 10. Architectures: Memory](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec10_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 122 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec11_360p_16_9.mp4)
[Lec 11. Representation Learning: Reconstruction-Based](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec11_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 132 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec12_360p_16_9.mp4)
[Lec 12. Representation Learning: Similarity-Based](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec12_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 198 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec13_360p_16_9.mp4)
[Lec 13. Representation Learning: Theory](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec13_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 134 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec14_360p_16_9.mp4)
[Lec 14. Generative Models: Basics](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec14_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 145 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec15_360p_16_9.mp4)
[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/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 141 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec16_360p_16_9.mp4)
[Lec 16. Generative Models: Conditional Models](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec16_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 143 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec17_360p_16_9.mp4)
[Lec 17. Generalization: Out-of-Distribution (OOD)](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec17_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 186 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec18_360p_16_9.mp4)
[Lec 18. Transfer Learning: Models](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec18_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 173 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec19_360p_16_9.mp4)
[Lec 19. Transfer Learning: Data](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec19_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 80 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec20_360p_16_9.mp4)
[Lec 20. Scaling Laws](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec20_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 214 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec21_360p_16_9.mp4)
[Lec 21. Language Models](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec21_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 154 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec23_360p_16_9.mp4)
[Lec 23. Metrized Deep Learning](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec23_mp4/)
[ video ![](https://ocw.mit.edu/static_shared/images/resource-download.d374f56f2572d49418bc.svg) 118 MB  ](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/mit6_7960f24_lec24_360p_16_9.mp4)
[Lec 24. Inference Methods for Deep Learning](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/resources/mit6_7960f24_lec24_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)
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