A loss function converts the difference between predictions and targets into a quantity that learning algorithms try to minimize. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.
A loss function converts the difference between predictions and targets into a quantity that learning algorithms try to minimize. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.