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864bba554c
Added: - SigmoidBackward class to modules/source/05_autograd/autograd_dev.py with #| export - BCEBackward class to modules/source/05_autograd/autograd_dev.py with #| export - Both classes exported to tinytorch/core/autograd.py - Updated Sigmoid activation to track gradients using SigmoidBackward - Updated BCE loss to track gradients using BCEBackward ISSUE: Training still not learning - gradients not flowing properly - Loss stays constant at 0.7911 - Weights don't update - Sigmoid.forward() code looks correct but a.requires_grad stays False - Need to investigate why gradient tracking isn't working through activations