Why has the cross-entropy become the classification standard loss function and not Kullback-Leibler divergence?
why cross entropy loss has to be multiplied by a batch size during an evaluation in transformer model?
How to compute the gradient of the cross-entropy loss function with respect to the parameters with softmax activation function?
Why does the binary cross-entropy work better than categorical cross-entropy in a multi-class single label problem?
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