La fonction de perte
Example: La fonction de perte mesure l'erreur du modèle d'IA.
Definition
"La fonction de perte" is a concept in data science and artificial intelligence that measures the error between the predicted output of a model and the actual target values. It quantifies how well or poorly the model performs, guiding improvements during training.
Etymology
The term "la fonction de perte" comes from French, where 'fonction' means function and 'perte' means loss. It literally translates to 'loss function,' reflecting its role in calculating the 'loss' or error in predictions. Did you know? The concept was popularized in machine learning as a fundamental tool to optimize algorithms.
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"La fonction de perte" appears in the Vocaplus list "French - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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