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Réglage des hyperparamètres

Le réglage des hyperparamètres est un processus fondamental en apprentissage automatique pour optimiser les performances du modèle en ajustant des paramètres tels que le taux d'apprentissage et la régularisation. Découvrez des méthodes telles que la recherche sur grille, la recherche aléatoire, l'optimisation bayésienne, et plus encore.

Hyperparameter Tuning Machine Learning AI +4
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