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hyperparameter tuning

HY-per-pah-RAM-eh-ter TOO-ning

ˈhaɪpərpəˌræmɪtər ˈtuːnɪŋ

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Syllable breakdown

hyperparametertuning

Dictionary meaning

the process of systematically searching for optimal configuration values that govern the training of a machine learning model; hyperparameters include learning rate, batch size, number of layers, and regularization strength; methods include grid search, random search, and Bayesian optimization

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