10.14: Neural Networks: Backpropagation Part 1 - The Nature of Code

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In this video, I discuss the backpropagation algorithm as it relates to supervised learning and neural networks.

Next Video: https://youtu.be/r2-P1Fi1g60

This video is part of Chapter 10 of The Nature of Code (http://natureofcode.com/book/chapter-10-neural-networks/)

This video is also part of session 4 of my Spring 2017 ITP "Intelligence and Learning" course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks)

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The Coding Train on Amazon: https://www.amazon.com/shop/thecodingtrain
Deeplearn.js: https://deeplearnjs.org/
Sigmoid function on Wikipedia: https://en.wikipedia.org/wiki/Sigmoid_function


Videos mentioned in this video:
My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh
3Blue1Brown Neural Networks playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
3Blue1Brown's Linear Algebra playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Gradient Descent by 3Blue1Brown: https://youtu.be/IHZwWFHWa-w

My Video on Gradient Descent: https://youtu.be/jc2IthslyzM


Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code

p5.js: https://p5js.org/
Processing: https://processing.org


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