All glossary terms
techniquesintermediate

Hyperparameter Tuning

The process of finding optimal hyperparameter values to maximize model performance.

In more detail

Techniques include grid search (exhaustive), random search, Bayesian optimization, and evolutionary algorithms. Balances performance with computational cost. Critical for achieving best model results.

Examples

  • Grid search over learning rates
  • Random search for architecture
  • Bayesian optimization for expensive models

Related terms

Hyperparameter
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