Asked about Estimation, likelihood and uncertainty
Why is cross-entropy the loss for classification?
An answer that works
It is the negative log-likelihood of the correct labels under the model's predicted probabilities. Minimising it is maximum likelihood estimation, and it punishes confident wrong predictions heavily, which is the desired behaviour.
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