AI Glossary
Hyperparameter
What is Hyperparameter?
A configuration variable set before training begins that controls the learning process — distinct from model parameters, which are learned during training. Examples include learning rate, batch size, and number of training epochs. Hyperparameter tuning significantly affects model performance and is one of the primary activities in applied machine learning.
Example in practice
A data scientist who runs 50 training experiments with different learning rates and batch sizes to find the combination that yields the best validation accuracy is doing hyperparameter tuning.
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