5.1: Doodle Classifier: Introduction - Intelligence and Learning

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In this series, I build a "doodle classifier" using the Google "Quick, Draw!" dataset and my JavaScript neural network library.

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🔗 Toy-Neural-Network-JS: https://github.com/CodingTrain/Toy-Neural-Network-JS
🔗 Deeplearn.js: https://deeplearnjs.org/
🔗 ITP's ML5.js library: https://github.com/ITPNYU/ml5-js
🔗 Rajiv Shah's Blog Post: http://projects.rajivshah.com/blog/2017/07/14/QuickDraw/
🔗 MNIST Database: http://yann.lecun.com/exdb/mnist/
🔗 Google Quick Draw: https://quickdraw.withgoogle.com/
🔗 Mimi Onuoha's Missing Datasets: https://github.com/MimiOnuoha/missing-datasets

🎥 My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh
🎥 Nearest Neighbours Coding Challenge: https://youtu.be/N8Fabn1om2k

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💻 https://github.com/CodingTrain/Rainbow-Code

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🔗 https://p5js.org/
🔗 https://processing.org

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