Timeline for Negative Log Likelihood cost
Current License: CC BY-SA 4.0
4 events
when toggle format | what | by | license | comment | |
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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 |