Binary Cross-Entropy Loss
Binary Cross-Entropy (BCE), also known as log loss, is a loss function used in binary or multi-label machine learning training.
It's nearly identical to Negative …
Articles tagged with LossFunctions
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Categorical Cross-Entropy Loss
Categorical Cross-Entropy Loss Function, also known as Softmax Loss, is a loss function used in multiclass classification model training. It applies the Softmax Activation Function …
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Negative Log-Likelihood
Negative log-likelihood is a loss function used in multi-class classification.
Calculated as , where
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Mean Absolute Difference - L1 Loss
Mean Absolute Difference (MAE) is a function for assessing Regression predictions. It's also as L1 Loss because it takes the L1 Norm of the error …
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Root mean-squared error - L2 Loss
Root mean-squared error (RMSE) is a function for assessing Regression predictions. Sometimes called L2 Error because it takes the L2 Norm of the error vector …