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Cost Functions In Deep Learning.
Cost Functions Table Of Contents: What Is A Cost Function? Mean Squared Error (MSE) Loss. Binary Cross-Entropy Loss. Categorical Cross-Entropy Loss. Custom Loss Functions. Loss Functions for Specific Tasks. Loss Functions for Imbalanced Data. Loss Function Selection. (1) What Is A Cost Function? A cost function, also known as a loss function or objective function, is a mathematical function used to measure the discrepancy between the predicted output of a machine learning model and the actual or target output. The purpose of a cost function is to quantify how well the model is performing and to guide the optimization process
