Hands-on generative adversarial networks with Keras : : your guide to implementing next-generation generative adversarial networks /

Hands-on generative adversarial networks with Keras : : your guide to implementing next-generation generative adversarial networks / / Rafael Valle.

Saved in:
Bibliographic Details
VerfasserIn:
Valle, Rafael,
Place / Publishing House:Birmingham ;, Mumbai : : Packt Publishing Ltd,, 2019.
Year of Publication:2019
Language:English
Online Access:
Physical Description:1 online resource (263 pages)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5005764277
ctrlnum (MiAaPQ)5005764277
(Au-PeEL)EBL5764277
(OCoLC)1101035930
collection bib_alma
record_format marc
spelling Valle, Rafael, author.
Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks / Rafael Valle.
Birmingham ; Mumbai : Packt Publishing Ltd, 2019.
1 online resource (263 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.
Python (Computer program language)
Neural networks (Computer science)
Electronic books.
Print version: Valle, Rafael. Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks. Birmingham ; Mumbai : Packt Publishing Ltd, c2019 263 pages 9781789538205
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5764277 Click to View
language English
format eBook
author Valle, Rafael,
spellingShingle Valle, Rafael,
Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks /
author_facet Valle, Rafael,
author_variant r v rv
author_role VerfasserIn
author_sort Valle, Rafael,
title Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks /
title_sub your guide to implementing next-generation generative adversarial networks /
title_full Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks / Rafael Valle.
title_fullStr Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks / Rafael Valle.
title_full_unstemmed Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks / Rafael Valle.
title_auth Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks /
title_new Hands-on generative adversarial networks with Keras :
title_sort hands-on generative adversarial networks with keras : your guide to implementing next-generation generative adversarial networks /
publisher Packt Publishing Ltd,
publishDate 2019
physical 1 online resource (263 pages)
isbn 9781789535136 (e-book)
9781789538205
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.73 P98 V355 42019
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5764277
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 005.133
dewey-sort 15.133
dewey-raw 005.133
dewey-search 005.133
oclc_num 1101035930
work_keys_str_mv AT vallerafael handsongenerativeadversarialnetworkswithkerasyourguidetoimplementingnextgenerationgenerativeadversarialnetworks
status_str n
ids_txt_mv (MiAaPQ)5005764277
(Au-PeEL)EBL5764277
(OCoLC)1101035930
carrierType_str_mv cr
is_hierarchy_title Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks /
_version_ 1792331003662958592
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01692nam a2200373 i 4500</leader><controlfield tag="001">5005764277</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20200520144314.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">190521s2019 enk o 000 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781789538205</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789535136 (e-book)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5005764277</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL5764277</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1101035930</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.P98</subfield><subfield code="b">.V355 2019</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Valle, Rafael,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hands-on generative adversarial networks with Keras :</subfield><subfield code="b">your guide to implementing next-generation generative adversarial networks /</subfield><subfield code="c">Rafael Valle.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ;</subfield><subfield code="a">Mumbai :</subfield><subfield code="b">Packt Publishing Ltd,</subfield><subfield code="c">2019.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (263 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on print version record.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Valle, Rafael.</subfield><subfield code="t">Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks.</subfield><subfield code="d">Birmingham ; Mumbai : Packt Publishing Ltd, c2019 </subfield><subfield code="h">263 pages </subfield><subfield code="z">9781789538205</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5764277</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>

Similar Items