The hyperparameter
Exemple : Hyperparameter controls model behavior during training and optimization
Definition
"The hyperparameter" refers to a parameter set before the learning process begins in machine learning models, which controls model behavior during training and optimization without being updated by the model itself.
Étymologie
The term "hyperparameter" combines 'hyper-', meaning 'over' or 'beyond', with 'parameter', indicating a variable that defines a system. It was coined in the context of machine learning to distinguish fixed configurations from parameters learned during training.
Apprenez à utiliser ce mot dans la pratique
"The hyperparameter" figure dans la liste Vocaplus "Anglais - Données et IA - (A1-C2) - partie 1", qui contient 110 mots fréquemment utilisés.
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