Deep learning with PyTorch 1.x: implement deep learning techniques and neural network architecture variants using Python
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt
November 2019
|
| Ausgabe: | Second edition |
| Schlagworte: | |
| Online-Zugang: | FHI01 UBR01 UBY01 Volltext |
| Beschreibung: | 1 Online-Ressource (vi, 280 Seiten) Illustrationen, Diagramme (farbig) |
| ISBN: | 9781838550332 |
Internformat
MARC
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| 245 | 1 | 0 | |a Deep learning with PyTorch 1.x |b implement deep learning techniques and neural network architecture variants using Python |c Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian |
| 250 | |a Second edition | ||
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| 700 | 1 | |a Subramanian, Vishnu |e Verfasser |4 aut | |
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Datensatz im Suchindex
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| author | Mitchell, Laura K., Sri. Yogesh Subramanian, Vishnu |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:33Z |
| indexdate | 2024-07-10T09:01:43Z |
| institution | BVB |
| isbn | 9781838550332 |
| language | English |
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| physical | 1 Online-Ressource (vi, 280 Seiten) Illustrationen, Diagramme (farbig) |
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| publishDate | 2019 |
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| publisher | Packt |
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| spelling | Mitchell, Laura Verfasser (DE-588)1186942878 aut Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian Second edition Birmingham Packt November 2019 1 Online-Ressource (vi, 280 Seiten) Illustrationen, Diagramme (farbig) txt rdacontent c rdamedia cr rdacarrier COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory K., Sri. Yogesh Verfasser aut Subramanian, Vishnu Verfasser aut Erscheint auch als Druck-Ausgabe 978-1-83855-300-5 https://portal.igpublish.com/iglibrary/search/PACKT0005471.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Mitchell, Laura K., Sri. Yogesh Subramanian, Vishnu Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
| title | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python |
| title_auth | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python |
| title_exact_search | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python |
| title_exact_search_txtP | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python |
| title_full | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian |
| title_fullStr | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian |
| title_full_unstemmed | Deep learning with PyTorch 1.x implement deep learning techniques and neural network architecture variants using Python Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian |
| title_short | Deep learning with PyTorch 1.x |
| title_sort | deep learning with pytorch 1 x implement deep learning techniques and neural network architecture variants using python |
| title_sub | implement deep learning techniques and neural network architecture variants using Python |
| topic | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
| topic_facet | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0005471.html |
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