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How are backward and step associated with model paramters update?
optimizer accept the paramters of the model, it can update the parameters, but how is loss function associated with paramters?
loss.backward()
optimizer.step()
REFERENCE:
1.pytorch - connection between loss.backward() and optimizer.step()
2.https://pytorch.org/tutorials/beginner/former_torchies/nnft_tutorial.html#forward-and-backward-function-hooks
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