Concept information
Preferred term
cross-entropy loss
Definition
- 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.
Broader concept
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-Q9XKBDHG-P
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