id ndltd-umontreal.ca-oai-papyrus.bib.umontreal.ca-1866-13710
record_format oai_dc
spelling ndltd-umontreal.ca-oai-papyrus.bib.umontreal.ca-1866-137102020-04-25T15:22:58Z Advances in scaling deep learning algorithms Dauphin, Yann Bengio, Yoshua Deep learning Neural networks High-dimensional non-convex optimization Boltzmann machines Auto-encoders Apprentissage profond Réseaux de neurones Optimisation à haute dimensoin Machine de Boltzmann Auto-encodeurs Applied Sciences - Computer Science / Sciences appliqués et technologie - Informatique (UMI : 0984) 2016-04-22T17:50:55Z NO_RESTRICTION 2016-04-22T17:50:55Z 2016-03-23 2015-06 Thèse ou mémoire / Thesis or Dissertation http://hdl.handle.net/1866/13710
collection NDLTD
sources NDLTD
topic Deep learning
Neural networks
High-dimensional non-convex optimization
Boltzmann machines
Auto-encoders
Apprentissage profond
Réseaux de neurones
Optimisation à haute dimensoin
Machine de Boltzmann
Auto-encodeurs
Applied Sciences - Computer Science / Sciences appliqués et technologie - Informatique (UMI : 0984)
spellingShingle Deep learning
Neural networks
High-dimensional non-convex optimization
Boltzmann machines
Auto-encoders
Apprentissage profond
Réseaux de neurones
Optimisation à haute dimensoin
Machine de Boltzmann
Auto-encodeurs
Applied Sciences - Computer Science / Sciences appliqués et technologie - Informatique (UMI : 0984)
Dauphin, Yann
Advances in scaling deep learning algorithms
author2 Bengio, Yoshua
author_facet Bengio, Yoshua
Dauphin, Yann
author Dauphin, Yann
author_sort Dauphin, Yann
title Advances in scaling deep learning algorithms
title_short Advances in scaling deep learning algorithms
title_full Advances in scaling deep learning algorithms
title_fullStr Advances in scaling deep learning algorithms
title_full_unstemmed Advances in scaling deep learning algorithms
title_sort advances in scaling deep learning algorithms
publishDate 2016
url http://hdl.handle.net/1866/13710
work_keys_str_mv AT dauphinyann advancesinscalingdeeplearningalgorithms
_version_ 1719313765709643776