Neural net in PyTorch - Backprop (code)

This video contains the implementation part of the backpropagation algorithm in PyTorch. We will be coding the derivatives and then running the full-fledged neural network on the MNIST dataset to calculate the accuracy.
Please do watch the previous derivation video, to make sense of what we are actually coding over here.
Hope you all like it. 😁😁
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