Loss was off by factor 10 #9
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The loss in the MNIST from scratch notebook is off by a factor of 10 due to the averaging. The averaging in NLLLoss is done over the batch, like in https://pytorch.org/docs/stable/generated/torch.nn.NLLLoss.html
No meaningful result changes, but nice for completeness.
out variable not deleted because it is used for backprop.