A Powerful Introduction to Machine Learning with Js

on YouTube ↗34m

" summary

Demos show client-side training and real time webcam inference using Tensorflow.js, with a KNN-style classifier built on top of MobileNet and an object detector using coco-ssd. Code captures frames, builds four live classes, releases GPU memory between runs, and runs in the browser via WebGL so no server GPU is required. Claims about privacy and instant URL deployment are demonstrated; responsiveness varies with RAM and connection but the examples do run end to end.

AI-written summary · about

" chapters (10)

1. 0:00Introduction to machine learning with JavaScript
2. 4:46Classical programming versus machine learning
3. 7:13Deep learning trend
4. 10:28Deep learning in browser
5. 13:07TensorFlow.js models
6. 15:20Live MobileNet demo
7. 23:25Testing the model
8. 27:54Coco SSD detection
9. 30:01Coco SSD code walk
10. 33:20Final demo & summary

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