Episode Details
Back to Episodes
Lec 02. How to Train a Neural Net
Description
MIT 6.7960 Deep Learning, Fall 2024
Instructor: Sara Beery
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
Uploaded 11-02-26
This video explains how to train a neural network using stochastic gradient descent (SGD), backpropagation, and automatic differentiation, key components of differentiable programming.
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.
Learn more about your ad choices. Visit megaphone.fm/adchoices
Learn more about your ad choices. Visit megaphone.fm/adchoices