What are hyperparameters, and how do they impact performance?
Reviewed by Jason Burns, Editorial Steward · Last updated
Hyperparameters are the settings that govern how a model is trained or configured — learning rate, batch size, number of layers, dropout rate, temperature — as opposed to the parameters the model learns from data.