What is Hyperparameter Tuning?
AI InfrastructureSystematically searching for the optimal configuration settings that control ML model training behavior.
Hyperparameters like learning rate, batch size, and architecture choices are not learned from data but must be set before training. Automated tuning methods include grid search, random search, and Bayesian optimization.