Concept information
Término preferido
cross-entropy loss
Definición
- A loss function used to optimize classification models in tasks like sentiment analysis, text classification, and language modeling that measures the dissimilarity between the predicted probability distribution and the true probability distribution of the target labels.
Concepto genérico
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/8LP-Q9XKBDHG-P
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