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The following function trains a neural network for one epoch. The body of the in...
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The following function trains a neural network for one epoch. The body of the inner loop consists of 5 statements, listed below in scrambled order. Put them in the correct execution order (1. = first, 5.=last).
Ignore optimizer.zero_grad() and code indentation for this example.
def update(network: nn.Module, data: DataLoader, loss: nn.Module,optimizer:optim.Optimizer):