Don't get burned with common torch training errors
Project description
Mitts
- TorchedHops - great beer ML name
- Mitts
- Torch oopsie
- Fire safety
- Smoke alarm
Goal: Prevent “oopsies” with PyTorch
Examples
- All of an input or output are the same (or missing)
- Gradients aren’t updating
- Inputs aren’t normalized
- Vanishing/Exploding gradient?
- Training/Test Overlap
To Deploy python3 -m build python3 -m twine upload dist/*
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