GLOSSARY TERM
What is Hyperparameter Tuning?
The process of determining the optimal external configuration for a machine learning model.
Hyperparameters, unlike weights, are set before training begins. Tuning variables like learning rate, batch size, or network depth through grid search or Bayesian optimization is critical for maximizing model performance.
Automate Model Optimization
Leverage TacTech MLOps for distributed, automated hyperparameter searches.