Simplified .envrc to use the existing root venv (bin/ directory) instead of creating nested .venv
Updated .tinyrc to point to root directory
Ensures direnv properly activates the virtual environment with all installed packages
- Create professional examples directory showcasing TinyTorch as real ML framework
- Add examples: XOR, MNIST, CIFAR-10, text generation, autograd demo, optimizer comparison
- Fix import paths in exported modules (training.py, dense.py)
- Update training module with autograd integration for loss functions
- Add progressive integration tests for all 16 modules
- Document framework capabilities and usage patterns
This commit establishes the examples gallery that demonstrates TinyTorch
works like PyTorch/TensorFlow, validating the complete framework.
