Coding Train Live 166.1: Finish Up Fourier + ml5 KNN
In this live episode, I finish up the Fourier Transform drawing example, and cover KNN Classification with image features.
π» Drawing with Fourier transform and Epicycles challenge https://thecodingtrain.com/challenges/130-drawing-with-fourier-transform-and-epicycles
Timestamps:
3:37 Finish Fourier transform drawing example
1:20:08 KNN Classification with image features
References:
π FFT on Algorithm Archive: https://www.algorithm-archive.org/contents/cooley_tukey/cooley_tukey.html
π Complex Number on Wikipedia: https://en.wikipedia.org/wiki/Complex_number
π Teachable Machine: https://teachablemachine.withgoogle.com/
π ml5.js: https://ml5js.org
π Machine Learning for the Web by Yining Shi: https://github.com/yining1023/machine-learning-for-the-web
π How to build a Teachable Machine with TensorFlow.js by Nikhil Thorat: https://beta.observablehq.com/@nsthorat/how-to-build-a-teachable-machine-with-tensorflow-js
π MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications: https://arxiv.org/abs/1704.04861
π Webcam PacMan: https://storage.googleapis.com/tfjs-examples/webcam-transfer-learning/dist/index.html
Videos:
π₯ But what is the Fourier Transform? A visual introduction by 3Blue1Brown: https://youtu.be/spUNpyF58BY
π₯ Fourier Analysis For The Rest Of Us by GoldPlatedGoof: https://youtu.be/2hfoX51f6sg
π₯ Beginner's Guide to Machine Learning with ml5.js: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y
π₯ Nearest Neighbors Recommendation Engine: https://youtu.be/N8Fabn1om2k
π Website: http://thecodingtrain.com/
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π₯ Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
π₯ Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
π p5.js: https://p5js.org
π p5.js Web Editor: https://editor.p5js.org/
π Processing: https://processing.org
π Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct