Question: Note: We are not using a softmax layer because it is already present in the loss: PyTorch's nn . CrossEntropyLoss combines nn . LogSoftMax with

Note: We are not using a softmax layer because it is already present in the loss: PyTorch's nn.CrossEntropyLoss combines nn.LogSoftMax with nn.NLLLoss.
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