Definition #
Adjusting parameters set before training (e.g., learning rate).
Key Characteristics #
- Grid search
- Random search
- Bayesian optimization
Why It Matters #
Improves model accuracy by 15-30% in most cases.
Examples #
- Optuna
- Keras Tuner
Hyperparameter Tuning
36 words·1 min