Achieve working XOR network training - first end-to-end success!

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- Fix XOR example to properly use Variables for trainable parameters
- Convert layer weights and biases to Variables with requires_grad=True
- Handle Variable data extraction for evaluation and display
- Demonstrate successful training: 50% → 100% accuracy, loss 0.25 → 0.003

MILESTONE ACHIEVED:
🎉 First complete neural network training working in TinyTorch!
- XOR problem solved with 100% accuracy over 500 epochs
- Proves autograd integration successful across layers and losses
- Validates that TinyTorch can train real neural networks end-to-end
- Establishes foundation for more complex training examples

This proves the framework integration works and TinyTorch can be used
like PyTorch for real machine learning tasks.

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This commit is contained in:

Vijay Janapa Reddi

2025-09-21 10:28:31 -04:00

parent 8f99655942

commit e41dd7b652

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