Hyperparameter: Difference between revisions

Hyperparameters are parameters set before training a [[machine learning model]] that influence its behavior and performance. Unlike regular parameters ([[weights]] and [[biases]], which are learned from data during [[training]], hyperparameters must be set by an outside party and may significantly impact the final result of the model.