Translations:Loss Functions/32/en

• Regression — MSE is the default; switch to mae or Huber if outliers are a concern.
• Binary classification — binary cross-entropy with sigmoid output.
• Multi-class classification — categorical cross-entropy with softmax output.
• Multi-label classification — binary cross-entropy applied independently per label.
• Ranking or retrieval — contrastive loss, triplet loss, or listwise ranking losses.