Coding Challenge #92: XOR Problem

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United States The Coding Train
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Published on ● Video Link: https://www.youtube.com/watch?v=188B6k_F9jU


Duration: 25:01
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In this coding challenge, I use my Toy Neural Networks library to solve the XOR problem. Code: https://thecodingtrain.com/challenges/92-xor-problem

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References:
πŸ’» Toy-Neural-Network-JS: https://github.com/CodingTrain/Toy-Neural-Network-JS
πŸ’» Deeplearn.js: https://deeplearnjs.org
πŸ’» ml5.js: https://ml5js.org/

Videos:
πŸš‚ My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh
πŸš‚ My Perceptron video: https://codingtrain.github.io/website-archive/more/archive/nature-of-code/10-Neural-Networks/10.2-Neural-Networks-Perceptron-Part-1
πŸŽ₯ Neural Networks: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

Live Stream Archive:
πŸ”΄ Live Stream Archive #118: https://youtu.be/e8H588SXu6U?t=8090s
πŸ”΄ Live Stream Archive #119: https://youtu.be/f9vaiHoq-Fk?t=3171s

Timestamps:
0:00 Introduction
1:15 Machine learning
3:00 Supervised learning
4:20 XOR problem
7:07 Hidden layer
11:49 Training data
13:14 nn.train()
15:14 nn.predict()
16:26 Visualize results
19:30 Initializing weights
20:15 Learning rate
22:33 Add more hidden nodes
23:40 What's next?

Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound

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This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new

#neuralnetwork #machinelearning #gradientdescent #xorproblem #javascript #p5js



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