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Loss Functions

concept · part of Machine Learning

Loss functions measure the difference between predicted and actual values in machine learning models. They guide the optimization process during training to minimize error.

Inside Loss Functions (1)

• Binary Cross-Entropy — Binary cross-entropy is a loss function used for binary classification tasks, quantifying the difference between true labels and predicted probabilities.

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