Cross Entropy Loss

• Cross-entropy loss works with multiple categories
• Results in faster and more reliable training
• default in fastai

When we first take the softmax, and then the log likelihood of that, that combination is called cross-entropy loss. In PyTorch, this is available as nn.CrossEntropyLoss (which, in practice, actually does log_softmax and then nll_loss).

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