Advanced deep learning with Keras: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Birmingham ; Mumbai
Packt Publishing
October 2018
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | x, 350 Seiten Illustrationen |
| ISBN: | 9781788629416 |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045487764 | ||
| 003 | DE-604 | ||
| 007 | t| | ||
| 008 | 190226s2018 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781788629416 |9 978-1-78862-941-6 | ||
| 035 | |a (OCoLC)1088796211 | ||
| 035 | |a (DE-599)HBZHT019897793 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-573 | ||
| 084 | |a ST 301 |0 (DE-625)143651: |2 rvk | ||
| 100 | 1 | |a Atienza, Rowel |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Advanced deep learning with Keras |b apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more |c Rowel Atienza |
| 264 | 1 | |a Birmingham ; Mumbai |b Packt Publishing |c October 2018 | |
| 300 | |a x, 350 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Keras |g Framework, Informatik |0 (DE-588)1160521077 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Deep Learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Deep Learning |0 (DE-588)1135597375 |D s |
| 689 | 0 | 1 | |a Keras |g Framework, Informatik |0 (DE-588)1160521077 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 2 | |m V:DE-605;X:semantics |q application/pdf |u http://digitale-objekte.hbz-nrw.de/storage2/2019/01/13/file_10/8237067.pdf |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-030872693 | |
Record in the Search Index
| _version_ | 1823924577056587776 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Atienza, Rowel |
| author_facet | Atienza, Rowel |
| author_role | aut |
| author_sort | Atienza, Rowel |
| author_variant | r a ra |
| building | Verbundindex |
| bvnumber | BV045487764 |
| classification_rvk | ST 301 |
| ctrlnum | (OCoLC)1088796211 (DE-599)HBZHT019897793 |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV045487764</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">190226s2018 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781788629416</subfield><subfield code="9">978-1-78862-941-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1088796211</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)HBZHT019897793</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-573</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 301</subfield><subfield code="0">(DE-625)143651:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Atienza, Rowel</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advanced deep learning with Keras</subfield><subfield code="b">apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more</subfield><subfield code="c">Rowel Atienza</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham ; Mumbai</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">October 2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">x, 350 Seiten</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Keras</subfield><subfield code="g">Framework, Informatik</subfield><subfield code="0">(DE-588)1160521077</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Deep Learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Deep Learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Keras</subfield><subfield code="g">Framework, Informatik</subfield><subfield code="0">(DE-588)1160521077</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">V:DE-605;X:semantics</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://digitale-objekte.hbz-nrw.de/storage2/2019/01/13/file_10/8237067.pdf</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030872693</subfield></datafield></record></collection> |
| id | DE-604.BV045487764 |
| illustrated | Illustrated |
| indexdate | 2025-02-13T07:00:24Z |
| institution | BVB |
| isbn | 9781788629416 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030872693 |
| oclc_num | 1088796211 |
| open_access_boolean | |
| owner | DE-573 |
| owner_facet | DE-573 |
| physical | x, 350 Seiten Illustrationen |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Atienza, Rowel Verfasser aut Advanced deep learning with Keras apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more Rowel Atienza Birmingham ; Mumbai Packt Publishing October 2018 x, 350 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Keras Framework, Informatik (DE-588)1160521077 gnd rswk-swf Deep Learning (DE-588)1135597375 gnd rswk-swf Deep Learning (DE-588)1135597375 s Keras Framework, Informatik (DE-588)1160521077 s DE-604 V:DE-605;X:semantics application/pdf http://digitale-objekte.hbz-nrw.de/storage2/2019/01/13/file_10/8237067.pdf Inhaltsverzeichnis |
| spellingShingle | Atienza, Rowel Advanced deep learning with Keras apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more Keras Framework, Informatik (DE-588)1160521077 gnd Deep Learning (DE-588)1135597375 gnd |
| subject_GND | (DE-588)1160521077 (DE-588)1135597375 |
| title | Advanced deep learning with Keras apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more |
| title_auth | Advanced deep learning with Keras apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more |
| title_exact_search | 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 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_short | 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 |
| title_sub | apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more |
| topic | Keras Framework, Informatik (DE-588)1160521077 gnd Deep Learning (DE-588)1135597375 gnd |
| topic_facet | Keras Framework, Informatik Deep Learning |
| url | http://digitale-objekte.hbz-nrw.de/storage2/2019/01/13/file_10/8237067.pdf |
| work_keys_str_mv | AT atienzarowel advanceddeeplearningwithkerasapplydeeplearningtechniquesautoencodersgansvariationalautoencodersdeepreinforcementlearningpolicygradientsandmore |