Machine Learning Principles, with JavaScript?
summary
JavaScript runs real machine learning via tensorflow.js and can train models in the browser or on a server; examples include an image classifier (car vs plane, hot‑dog detector) and a small pronunciation model built by iterating labeled examples. The uploader quotes a neural implant demo where signals predict pig limb movement in real time — a concrete surprising result. Demos show a working playground that reports prediction confidence percentages and lets you import pretrained models from a catalog.
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chapters (14)
- 0:00Introduction to machine learning with JavaScript
- 1:55Expectations and goals
- 3:25JS evolution and ubiquity
- 6:16ML concepts demystified
- 8:46Human vs machine learning
- 13:25Practical pattern exercise
- 17:49How models predict
- 20:39Prediction model apps
- 23:10TensorFlow.js intro
- 25:44Training models with TF.js
- 29:22TF.js playground demo
- 31:34Object recognition training
- 34:48Practical apps and next steps
- 35:53Closing remarks
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