Hands-on generative adversarial networks with PyTorch 1.x: implement next-generation neural networks to build powerful GAN models using Python
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt
December 2019
|
| Ausgabe: | First published |
| Schlagworte: | |
| Online-Zugang: | DE-573 DE-355 DE-706 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (v, 289 Seiten) Illustrationen, Diagramme (farbig) |
| ISBN: | 9781789534283 |
Internformat
MARC
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| 245 | 1 | 0 | |a Hands-on generative adversarial networks with PyTorch 1.x |b implement next-generation neural networks to build powerful GAN models using Python |c John Hany, Greg Walters |
| 250 | |a First published | ||
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Datensatz im Suchindex
| _version_ | 1808315560776171520 |
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| adam_text | |
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| any_adam_object | |
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| author | Hany, John ca. 20./21. Jh Walters, Gregory 19XX- |
| author_GND | (DE-588)1248665139 (DE-588)1048173216 |
| author_facet | Hany, John ca. 20./21. Jh Walters, Gregory 19XX- |
| author_role | aut aut |
| author_sort | Hany, John ca. 20./21. Jh |
| author_variant | j h jh g w gw |
| building | Verbundindex |
| bvnumber | BV047069571 |
| classification_rvk | ST 301 |
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| ctrlnum | (ZDB-5-WPSE)9781789534283312 (ZDB-221-PDA)9781789534283 (OCoLC)1227482971 (DE-599)BVBBV047069571 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | First published |
| format | Electronic eBook |
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| id | DE-604.BV047069571 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:33Z |
| indexdate | 2024-08-25T00:01:45Z |
| institution | BVB |
| isbn | 9781789534283 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032476597 |
| oclc_num | 1227482971 |
| open_access_boolean | |
| owner | DE-573 DE-706 DE-355 DE-BY-UBR DE-11 |
| owner_facet | DE-573 DE-706 DE-355 DE-BY-UBR DE-11 |
| physical | 1 Online-Ressource (v, 289 Seiten) Illustrationen, Diagramme (farbig) |
| psigel | ebook ZDB-5-WPSE ZDB-221-PDA ZDB-221-PDA UBR Paketkauf 2021 ZDB-221-PDA UBY01_ZDB-221-PDA21 |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt |
| record_format | marc |
| spelling | Hany, John ca. 20./21. Jh. Verfasser (DE-588)1248665139 aut Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python John Hany, Greg Walters First published Birmingham ; Mumbai Packt December 2019 1 Online-Ressource (v, 289 Seiten) Illustrationen, Diagramme (farbig) txt rdacontent c rdamedia cr rdacarrier Mensch-Maschine Schnittstelle 1981 Stuttgart (DE-588)16127573-4 gnd rswk-swf COMPUTERS / Machine Theory COMPUTERS / Social Aspects / Human-Computer Interaction Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Generative Adversarial Network (DE-588)1220245119 gnd rswk-swf Generative Adversarial Network (DE-588)1220245119 s Mensch-Maschine Schnittstelle 1981 Stuttgart (DE-588)16127573-4 f Python Programmiersprache (DE-588)4434275-5 s DE-604 Walters, Gregory 19XX- Verfasser (DE-588)1048173216 aut Erscheint auch als Druck-Ausgabe 978-1-78953-051-3 https://portal.igpublish.com/iglibrary/search/PACKT0005491.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hany, John ca. 20./21. Jh Walters, Gregory 19XX- Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python Mensch-Maschine Schnittstelle 1981 Stuttgart (DE-588)16127573-4 gnd COMPUTERS / Machine Theory COMPUTERS / Social Aspects / Human-Computer Interaction Python Programmiersprache (DE-588)4434275-5 gnd Generative Adversarial Network (DE-588)1220245119 gnd |
| subject_GND | (DE-588)16127573-4 (DE-588)4434275-5 (DE-588)1220245119 |
| title | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python |
| title_auth | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python |
| title_exact_search | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python |
| title_exact_search_txtP | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python |
| title_full | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python John Hany, Greg Walters |
| title_fullStr | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python John Hany, Greg Walters |
| title_full_unstemmed | Hands-on generative adversarial networks with PyTorch 1.x implement next-generation neural networks to build powerful GAN models using Python John Hany, Greg Walters |
| title_short | Hands-on generative adversarial networks with PyTorch 1.x |
| title_sort | hands on generative adversarial networks with pytorch 1 x implement next generation neural networks to build powerful gan models using python |
| title_sub | implement next-generation neural networks to build powerful GAN models using Python |
| topic | Mensch-Maschine Schnittstelle 1981 Stuttgart (DE-588)16127573-4 gnd COMPUTERS / Machine Theory COMPUTERS / Social Aspects / Human-Computer Interaction Python Programmiersprache (DE-588)4434275-5 gnd Generative Adversarial Network (DE-588)1220245119 gnd |
| topic_facet | Mensch-Maschine Schnittstelle 1981 Stuttgart COMPUTERS / Machine Theory COMPUTERS / Social Aspects / Human-Computer Interaction Python Programmiersprache Generative Adversarial Network |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0005491.html |
| work_keys_str_mv | AT hanyjohn handsongenerativeadversarialnetworkswithpytorch1ximplementnextgenerationneuralnetworkstobuildpowerfulganmodelsusingpython AT waltersgregory handsongenerativeadversarialnetworkswithpytorch1ximplementnextgenerationneuralnetworkstobuildpowerfulganmodelsusingpython |