Train MNIST using numpy with manual backprop (somehow more accurate than pytorch)
pytorch loss.backward() : 0.964
backprop by hand : 0.977
utkarshgill/mnist_from_scratch
Folders and files
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Train MNIST using numpy with manual backprop (somehow more accurate than pytorch)
pytorch loss.backward() : 0.964
backprop by hand : 0.977