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

id	ndltd-umontreal.ca-oai-papyrus.bib.umontreal.ca-1866-20501
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spelling	ndltd-umontreal.ca-oai-papyrus.bib.umontreal.ca-1866-205012020-04-25T15:23:01Z Feedforward deep architectures for classification and synthesis Warde-Farley, David Bengio, Yoshua 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) 2018-06-11T16:34:24Z NO_RESTRICTION 2018-06-11T16:34:24Z 2018-03-21 2017-08 Thèse ou mémoire / Thesis or Dissertation http://hdl.handle.net/1866/20501
collection	NDLTD
sources	NDLTD
topic	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)
spellingShingle	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) Warde-Farley, David Feedforward deep architectures for classification and synthesis
author2	Bengio, Yoshua
author_facet	Bengio, Yoshua Warde-Farley, David
author	Warde-Farley, David
author_sort	Warde-Farley, David
title	Feedforward deep architectures for classification and synthesis
title_short	Feedforward deep architectures for classification and synthesis
title_full	Feedforward deep architectures for classification and synthesis
title_fullStr	Feedforward deep architectures for classification and synthesis
title_full_unstemmed	Feedforward deep architectures for classification and synthesis
title_sort	feedforward deep architectures for classification and synthesis
publishDate	2018
url	http://hdl.handle.net/1866/20501
work_keys_str_mv	AT wardefarleydavid feedforwarddeeparchitecturesforclassificationandsynthesis
_version_	1719313771420188672

Feedforward deep architectures for classification and synthesis

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