Machine Learning
Hyperparameter
Machine Learning· Intermediate
Definition
A configuration variable set before training that controls the learning process — not learned from data. Examples: learning rate, epochs, batch size, regularization strength. Hyperparameter tuning finds optimal values for peak model performance.
Tags
#configuration#tuning#learning-rate
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