Original upload date: Fri, 03 Nov 2017 00:00:00 GMT
Archive date: Wed, 01 Dec 2021 03:35:20 GMT
What's actually happening to a neural network as it learns?
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The following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walkthrough here, and the representation of these "nudges" in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen's book or Chis Olah's blog.
Video timeline:
0:00 - Introduction
0:23 - Recap
3:07 - Intuitive walkthrough example
9:33 - Stochastic gradient descent
12:28 - Final words
