Clean up CIFAR-10 examples: remove experimental files, simplify training

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- Add untrained_baseline.py to show random network performance (~10%)
- Replace dashboard version with train_cifar10.py using Rich for clean progress display
- Add train_simple.py for minimal version without UI dependencies
- Remove all experimental optimization attempts that didn't achieve claimed performance
- Update README with realistic performance expectations (55% verified)
- Clean, educational examples that actually work and achieve stated results

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This commit is contained in:

Vijay Janapa Reddi

2025-09-21 19:58:16 -04:00

parent 10271c55e0

commit 50c33503e2

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