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.
Challenges
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#187 — Bayesian Text Classification
In this coding challenge, I struggle my way through implementing a Naive Bayes text classifier in JavaScript using p5.js. I explain Bayes' theorem, demonstrate word frequency analysis, implement Laplacian smoothing, and build a working sentiment classifier that runs entirely in the browser.
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sketch-RNN
In this holiday coding challenge, I use ml5.js and Sketch-RNN to generate snowflake drawings.
In this multi-part coding challenge, I take a closer look at the Quick, Draw! dataset and create a simple node API to "replay" drawings of rainbows and cats using p5.js.
