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LOSS function II

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LOSS function II

loss function is a mathematical function that calculates the error or discrepancy between the predicted output and the actual output in a machine learning model. The goal of the loss function is to minimize this error during the training process in order to improve the accuracy and performance of the model.

Exey Panteleev | CC BY 2.0