A Loss Function quantifies the error between a model's prediction and the true value, serving as a measure of how well a model performs. Its minimization is the core objective in training, guiding the learning process towards optimal outcomes.
A Loss Function quantifies the error between a model's prediction and the true value, serving as a measure of how well a model performs. Its minimization is the core objective in training, guiding the learning process towards optimal outcomes.