Contrastive Loss Functions
Master contrastive loss functions including InfoNCE, NT-Xent, and Triplet Loss for representation learning and self-supervised training.
11 min readConcept
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losses
Explore machine learning concepts related to losses. Clear explanations and practical insights.
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Concepts Found
Concepts Related to losses
Focal Loss for Imbalanced Classification
Master focal loss, the game-changing loss function that addresses extreme class imbalance by down-weighting easy examples and focusing on hard negatives.
10 min readConcept
KL Divergence
Understand Kullback-Leibler divergence, the fundamental measure of difference between probability distributions used in VAEs, information theory, and model compression.
10 min readConcept
MSE and MAE Loss Functions
Understand Mean Squared Error (MSE) and Mean Absolute Error (MAE), the fundamental loss functions for regression tasks with different sensitivity to outliers.
8 min readConcept