Feedforward deep architectures for classification and synthesis

Feedforward deep architectures for classification and synthesis

Bibliographic Details
Main Author:	Warde-Farley, David
Other Authors:	Bengio, Yoshua
Published:	2018
Subjects:	Réseau de neurones Apprentissage supervisé Apprentissage non-supervisé Apprentissage machine Dropout Fonction d'activation Réseau convolutionel Reconnaissance d'objets Synthèse d'images Apprentissage de représentations profondes Neural network Machine learning Deep learning Supervised learning Unsupervised learning Generative adversarial network Activation function Convolutional network Object recognition Image synthesis Applied Sciences - Artificial Intelligence / Sciences appliqués et technologie - Intelligence artificielle (UMI : 0800)
Online Access:	http://hdl.handle.net/1866/20501

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