This challenge uses the pre-trained SketchRNN machine learning model (available with the ml5.js library) to create a p5.js sketch that finishes a person’s drawing.

💻 https://thecodingtrain.com/CodingChallenges/153-interactive-sketchrnn.html
💻 https://editor.p5js.org/codingtrain/sketches/hcumr-aua

🔗 ml5.js: https://ml5js.org
🔗 Draw Together with a Neural Network - Magenta TensorFlow: https://magenta.tensorflow.org/assets/sketch_rnn_demo/index.html
🔗 Ramer–Douglas–Peucker algorithm on Wikipedia: https://en.wikipedia.org/wiki/Ramer%E2%80%93Douglas%E2%80%93Peucker_algorithm
🔗 A Neural Representation of Sketch Drawings: https://arxiv.org/abs/1704.03477
🔗 Quick, Draw!: https://quickdraw.withgoogle.com/#
🔗 Recurrent Neural Networks & LSTMs: https://ayearofai.com/rohan-lenny-3-recurrent-neural-networks-10300100899b

🎥 Coding Challenge #128: Sketch-RNN Snowflakes with ml5.js: https://youtu.be/pdaNttb7Mr8
🎥 Coding Challenge #152: RDP Line Simplification Algorithm: https://youtu.be/nSYw9GrakjY

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🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
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🔗 p5.js: https://p5js.org
🔗 Processing: https://processing.org