Advanced deep learning with TensorFlow 2 and Keras : : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /

Advanced deep learning with TensorFlow 2 and Keras : : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / / Rowel Atienza.

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Atienza, Rowel,
Place / Publishing House:Birmingham, England ;, Mumbai : : Packt,, [2020]
2020
Year of Publication:2020
Edition:Second edition.
Language:English
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Physical Description:1 online resource (513 pages)
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ctrlnum (MiAaPQ)5006126530
(Au-PeEL)EBL6126530
(OCoLC)1143638337
collection bib_alma
record_format marc
spelling Atienza, Rowel, author.
Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza.
Second edition.
Birmingham, England ; Mumbai : Packt, [2020]
2020
1 online resource (513 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
TensorFlow.
Electronic books.
Print version: Atienza, Rowel. Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more. Second edition. Birmingham, England ; Mumbai : Packt, c2020 513 pages 9781838821654
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6126530 Click to View
language English
format eBook
author Atienza, Rowel,
spellingShingle Atienza, Rowel,
Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
author_facet Atienza, Rowel,
author_variant r a ra
author_role VerfasserIn
author_sort Atienza, Rowel,
title Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
title_sub apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
title_full Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza.
title_fullStr Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza.
title_full_unstemmed Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more / Rowel Atienza.
title_auth Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
title_new Advanced deep learning with TensorFlow 2 and Keras :
title_sort advanced deep learning with tensorflow 2 and keras : apply dl, gans, vaes, deep rl, unsupervised learning, object detection and segmentation, and more /
publisher Packt,
publishDate 2020
physical 1 online resource (513 pages)
edition Second edition.
isbn 9781838825720 (e-book)
9781838821654
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.76 A65 A854 42020
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6126530
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 005 - Computer programming, programs & data
dewey-full 005.3
dewey-sort 15.3
dewey-raw 005.3
dewey-search 005.3
oclc_num 1143638337
work_keys_str_mv AT atienzarowel advanceddeeplearningwithtensorflow2andkerasapplydlgansvaesdeeprlunsupervisedlearningobjectdetectionandsegmentationandmore
status_str n
ids_txt_mv (MiAaPQ)5006126530
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carrierType_str_mv cr
is_hierarchy_title Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more /
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