~/talk

AutoML: No Code No Problem

Talkat DevFest Florida 2019 · on Saturday, 2019-01-19· [machine-learning, large-language-models]
name:Dan Baran
github:danbaran
slides:none on file

Google AutoML Vision claims to let non-coders build custom image classifiers; the demo uses the AutoML UI, a ZIP or CSV import, and the AutoML API to auto-add predictions. A poster classifier trains on 16,000 images with useful results after a few hours; baseline is ~100 images per label. Training is free one hour then $20/hour, multi-label drops the confusion matrix, GIFs use the first frame, and evaluation shows real false positives and a usable confusion matrix for up to ten labels.

AI-written summary · about

  1. 0:00Start
  2. 2:40User Interface
  3. 6:26Tips and Tricks of Auto Ml
  4. 8:46Multi-Label Classification
  5. 14:00Image Detector
  6. 20:59Confusion Matrix
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