Live Stream #120: MNIST and Pendulums
In this live stream, I use the MNIST dataset to test the neural network library. I also attempt to simulate a double pendulum in Processing.
1:15:30 - MNIST
3:02:59 - Coding Challenge: Double Pendulum
π Toy-Neural-Network-JS: https://github.com/CodingTrain/Toy-Neural-Network-JS
π Deeplearn.js: https://deeplearnjs.org/
π ITP's ML5.js library: https://github.com/ITPNYU/ml5-js
π MNIST Database: http://yann.lecun.com/exdb/mnist/
π My Physics Lab Double Pendulum: https://www.myphysicslab.com/pendulum/double-pendulum-en.html
π ArrayBuffer on MDN: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/ArrayBuffer
π Fetch API on MDN: https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API
π₯ My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh
π₯ My Pendulum Simulation: https://youtu.be/9iaEqGOh5WM
π₯ 3Blue1Brown Neural Networks playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
π The Coding Train website: http://thecodingtrain.com/
π Support this channel on Patreon: https://patreon.com/codingtrain
π To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/
π Book recommendations: https://www.amazon.com/shop/thecodingtrain
π» https://github.com/CodingTrain/Rainbow-Code
π₯ For an Introduction to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
π₯ For More Live Streams: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bxnFR6no70vlxxuxDEzflz
π₯ For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
π https://p5js.org/
π https://processing.org
π Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct