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In this video, I discuss how “gradient descent” can be used to adjust the weights during back propagation in my “toy” JavaScript neural network library.
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This video is part of Chapter 10 of The Nature of Code (
This video is also part of session 4 of my Spring 2017 ITP “Intelligence and Learning” course (
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Backpropagation on Wikipedia:
Machine Learning for Artists:
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Videos mentioned in this video:
My Neural Networks series:
3Blue1Brown Neural Networks playlist:
3Blue1Brown’s Linear Algebra playlist:
My Video on Gradient Descent:
My Video on Perceptron:
My Video on Linear Regression:
Source Code for the all Video Lessons:
p5.js:
Processing:
The Nature of Code playlist:
For More Coding Challenges:
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