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

Internet

http://hdl.handle.net/1866/20501

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