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. Connaissance example, a piece of equipment could have data position labeled either “F” (failed) pépite “R” (runs). The learning algorithm receives a haut of inputs along with the corresponding régulier outputs, and the al

read more