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Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Detalles Bibliográficos
Autor principal: Atienza, Rowel
Lenguaje:eng
Publicado: Packt Publishing 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2653256
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author Atienza, Rowel
author_facet Atienza, Rowel
author_sort Atienza, Rowel
collection CERN
id cern-2653256
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Packt Publishing
record_format invenio
spelling cern-26532562021-04-21T18:37:22Zhttp://cds.cern.ch/record/2653256engAtienza, RowelAdvanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and moreComputing and ComputersPackt Publishingoai:cds.cern.ch:26532562018
spellingShingle Computing and Computers
Atienza, Rowel
Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
title Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
title_full Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
title_fullStr Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
title_full_unstemmed Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
title_short Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
title_sort advanced deep learning with keras: apply deep learning techniques, autoencoders, gans, variational autoencoders, deep reinforcement learning, policy gradients, and more
topic Computing and Computers
url http://cds.cern.ch/record/2653256
work_keys_str_mv AT atienzarowel advanceddeeplearningwithkerasapplydeeplearningtechniquesautoencodersgansvariationalautoencodersdeepreinforcementlearningpolicygradientsandmore