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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(MiAaPQ)5005573417 (Au-PeEL)EBL5573417 (CaPaEBR)ebr11630312 (OCoLC)1065140940 |
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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 (Au-PeEL)EBL5573417 (CaPaEBR)ebr11630312 (OCoLC)1065140940 |
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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1792330995133841408 |
fullrecord |
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