Live Stream #114.2 - Revisiting the Feedforward Algorithm
This live stream is a second try at explaining the feedforward algorithm for neural networks.
Edited tutorials:
Neural Networks: Feedforward Algorithm Part 1: https://youtu.be/qWK7yW8oS0I
Neural Networks: Feedforward Algorithm Part 2: https://youtu.be/MPmLWsHzPlU
11:35 - Feedforward Algorithm Part 1
1:10:34 - Feedforward Algorithm Part 2
Schedule and topics:
https://github.com/CodingTrain/Rainbow-Code/blob/master/README.md
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Links discussed in this video:
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Sigmoid function on Wikipedia: https://en.wikipedia.org/wiki/Sigmoid_function
Math.exp() on MDN: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Math/exp
Videos mentioned:
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
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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