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Timeline for Negative Log Likelihood cost

Current License: CC BY-SA 4.0

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Mar 23, 2020 at 3:29 vote accept James Ellis
Mar 22, 2020 at 19:12 comment added gunes Typically in multiclass classification problems, there are $c$ outputs, and we choose maximum of them as answer. But, in binary classification problems, you have only one output instead of two outputs (that's the way the classifier is typically designed) as if $c=2$. That's why the loss term includes as if there is a second output
Mar 22, 2020 at 18:38 comment added James Ellis Why does the binary version take into account both the loss for the correct and incorrect classification group?
Mar 22, 2020 at 15:29 history answered gunes CC BY-SA 4.0