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

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Place / Publishing House:London, England : : Packt Publishing, Limited,, [2018]
Ã2018
Year of Publication:2018
Language:English
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Physical Description:1 online resource (369 pages) :; illustrations
Notes:Includes index.
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ctrlnum (MiAaPQ)5005573417
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(CaPaEBR)ebr11630312
(OCoLC)1065140940
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spelling Atienza, Rowel, author.
Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more / Rowel Atienza.
London, England : Packt Publishing, Limited, [2018]
Ã2018
1 online resource (369 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Includes index.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Machine learning.
Neural networks (Computer science)
Electronic books.
Print version: Atienza, Rowel. Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more. London, England : Packt Publishing, Limited, c2018 369 pages 9781788629416
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5573417 Click to View
language English
format eBook
author Atienza, Rowel,
spellingShingle Atienza, Rowel,
Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
author_facet Atienza, Rowel,
author_variant r a ra
author_role VerfasserIn
author_sort Atienza, Rowel,
title Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
title_sub 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 / Rowel Atienza.
title_fullStr Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more / Rowel Atienza.
title_full_unstemmed Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more / Rowel Atienza.
title_auth Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
title_new Advanced deep learning with Keras :
title_sort advanced deep learning with keras : apply deep learning techniques, autoencoders, gans, variational autoencoders, deep reinforcement learning, policy gradients, and more /
publisher Packt Publishing, Limited,
publishDate 2018
physical 1 online resource (369 pages) : illustrations
isbn 9781788624534
9781788629416
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.87 A854 42018
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5573417
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.32
dewey-sort 16.32
dewey-raw 006.32
dewey-search 006.32
oclc_num 1065140940
work_keys_str_mv AT atienzarowel advanceddeeplearningwithkerasapplydeeplearningtechniquesautoencodersgansvariationalautoencodersdeepreinforcementlearningpolicygradientsandmore
status_str n
ids_txt_mv (MiAaPQ)5005573417
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carrierType_str_mv cr
is_hierarchy_title Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /
marc_error Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ]
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