LES PRINCIPES DE BASE DE DEEP LEARNING

Les principes de base de Deep learning

Supervised learning algorithms are trained using labeled examples, such as an input where the desired output is known. Cognition example, a piece of equipment could have data abscisse labeled either “F” (failed) or “R” (runs). The learning algorithm receives a supériorité of inputs along with the corresponding bien outputs, and the algori

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