Is Neural Network Better Than Ash at Detecting Team Rocket
summary
Claim: a neural net beats Ash at spotting Team Rocket and explains why. Uses TensorFlow, TensorFlow.js, Google AutoML to train an edge object detector and a small 9‑layer CNN, trained on 158 images (87 Jesse, 71 James), achieves near‑perfect detection on many frames but fails on goofy or crowded shots. Builds an interactive web app with activation‑map sliders to show which filters (hair, beard, etc.) drive each prediction and it mostly works.
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chapters (11)
- 0:00Introduction
- 2:35Team Rocket’s role
- 4:42Detection problem
- 7:11Experiment setup
- 9:38Training model
- 15:49Evaluating results
- 16:12Image classifier
- 17:14TensorFlow.js conversion
- 18:37Activation maps
- 25:40Key takeaways
- 27:25Q&A
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