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Subramanian, Vishnu: PyTorch shen du xue xi = : Deep learning with PyTorch / / [Yindu] Pishinu Bulamaniya (Vishnu Subramanian) zhu ; Wang Hailing, Liu Jiangfeng yi ; Liu Fang shen… . - Di 1 ban.. -
Beijing: Ren min you dian chu ban she = Posts & Telecom Press, [2019]. - 1 online resource (212 pages) : illustrations., ISBN 978-1-83620-029-1
(Yi bu tu shu)PyTorch深度学习 = : Deep learning with PyTorch / [印度] 毗湿奴·布拉马尼亚 (Vishnu Subramanian) 著 ; 王海玲, 刘江峰 译 ; 刘昉 审校.. - 第1版. -
北京: 人民邮电出版社 = Posts & Telecom Press, [2019]
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Pointer, Ian: PyTorch für Deep Learning : Anwendungen für Bild-, Ton- und Textdaten entwickeln und deployen / Ian Pointer ; deutsche Übersetzung von Marcus Fraaß. - 1. Auflage. -
Heidelberg: O'Reilly, 2021. - XXII, 247 Seiten : Illustrationen, ISBN 978-3-96009-134-9
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Signatur: LN-U 10-19425
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Papa, Joe: PyTorch kompakt : Syntax, Design Patterns und Codebeispiele für Deep-Learning-Modelle / Joe Papa ; deutsche Übersetzung von Frank Langenau. - 1. Auflage. -
Heidelberg: O'Reilly, 2022. - 235 Seiten : Illustrationen, ISBN 978-3-96009-185-1
Buch/keine Angabe |
Signatur: LN-U 10-19621
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Howard, Jeremy: PyTorch to fastai de hajimeru dīpu rāningu : enjinia no tame no AI apurikēshon kaihatsu / Howard Jeremy, Gugger Sylvain cho ; Nakada Hidemoto yaku = Deep learning for coders with fastai and … . - Shohan.. -
Tōkyō-to Shinjuku-ku: Orairī Japan, 2021. - 1 online resource (584 pages), ISBN 978-4-87311-942-7PyTorchとfastaiではじめるディープラーニング : エンジニアのためのAIアプリケーション開発 / Jeremy Howard, Sylvain Gugger著 ; 中田秀基訳 = Deep learning for coders with fastai and PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger.. - 初版: オライリー・ジャパン, 2021
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Rao, Delip: Natural Language Processing mit PyTorch : intelligente Sprachanwendungen mit Deep Learning erstellen / Delip Rao und Brian McMahan ; deutsche Übersetzung von Frank Langenau. - 1. Auflage, deutsche Ausgabe. -
Heidelberg: O'Reilly, 2020. - XIV, 234 Seiten : Illustrationen, Diagramme, ISBN 978-3-96009-118-9
Buch/keine Angabe |
Signatur: LN-U 10-19234
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Zai, Alex: Einstieg in Deep Reinforcement Learning : KI-Agenten mit Python und PyTorch programmieren / Alexander Zai, Brandon Brown. -
München: Hanser, [2020]. - XV, 382 Seiten : Illustrationen, Diagramme, ISBN 978-3-446-45900-7
Buch/keine Angabe |
Signatur: LN-U 10-19437
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Weidman, Seth: Deep Learning - Grundlagen und Implementierung : neuronale Netze mit Python und PyTorch programmieren / Seth Weidman ; deutsche Übersetzung von Jørgen W. Lang. - 1. Auflage. -
Heidelberg: O'Reilly, [2020]. - XIII, 235 Seiten : Illustrationen, Diagramme, ISBN 978-3-96009-136-3
Buch/keine Angabe |
Signatur: LN-U 10-19338
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Ketkar, Nikhil: Deep Learning with Python : Learn Best Practices of Deep Learning Models with PyTorch / Ketkar, Nikhil. - 2nd edition. -
[Erscheinungsort nicht ermittelbar]: Apress, 2021. - 1 online resource (316 pages), ISBN 978-1-4842-5364-9
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| 9. |
Stevens, Eli: Deep learning with PyTorch / Eli Stevens, Luca Antiga, and Thomas Viehmann ; foreword by Soumith Chintala. -
Shelter Island: Manning, [2020]. - xxviii, 490 Seiten : Illustrationen, ISBN 978-1-61729-526-3
Buch/keine Angabe |
Signatur: LN-U 10-19504
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Howard, Jeremy: Deep learning dla programistów : budowanie aplikacji AI za pomocą fastai i PyTorch / Jeremy Howard, Sylvain Gugger ; tłumaczenie, Jacek Janusz. - [First edition].. -
Gliwice: Helion, [2021]. - 1 online resource (544 pages) : illustrations, ISBN 978-83-283-7510-9
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| 11. |
Ayyadevara, V. Kishore: Modern computer vision with PyTorch : a practical roadmap from deep learning fundamentals to advanced applications and Generative AI / V. Kishore Ayyadevara, Yeshwanth Reddy. - Second edition.. -
Birmingham, UK: Packt Publishing Ltd., 2024. - 1 online resource (746 pages) : illustrations, ISBN 978-1-80323-133-4
(Expert insight)
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| 12. |
Gridin, Ivan: Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python / Ivan Gridin. -
New York, NY: Apress, [2022]. - 1 online resource : illustrations (chiefly color), ISBN 978-1-4842-8149-9
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| 13. |
Mastering Image Segmentation with PyTorch using Real-World Projects. -
[Erscheinungsort nicht ermittelbar]: Packt Publishing, 2023. - 1 online resource (1 video file), ISBN 978-1-80181-735-6
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| 14. |
Adari, Suman Kalyan: Beginning anomaly detection using Python-based deep learning : implement anomaly detection applications with Keras and PyTorch / Suman Kalyan Adari, Sridhar Alla. - Second edition.. -
New York, NY: Apress, [2024]. - 1 online resource (538 pages) : illustrations
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| 15. |
Cerqueira, Vitor: DEEP LEARNING FOR TIME SERIES COOKBOOK : use PyTorch and Python recipes for forecasting, classification, and anomaly detection / Vitor Cerqueira, Luís Roque. - 1st edition.. -
Birmingham, UK: Packt Publishing Ltd., 2024. - 1 online resource, ISBN 978-1-80512-273-9
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| 16. |
PyTorch 2.0 for deep learning : building and training neural networks from scratch. - [First edition].. -
[Sebastopol, California]: O'Reilly Media, Inc., 2024. - 1 online resource (1 video file (2 hr., 17 min.)) : sound, color.
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| 17. |
Jha, Ashish Ranjan: Mastering PyTorch : create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond / Ashish Ranjan Jha. - Second edition.. -
Birmingham, UK: Packt Publishing Ltd., 2024. - 1 online resource (558 pages) : illustrations, ISBN 978-1-80107-430-8
(Expert insight)
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| 18. |
Mohandas, Goku: Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch / with Goku Mohandas & Alfredo Canziani.. -
[Place of publication not identified]: O'Reilly, [2018]. - 1 online resource (1 streaming video file (1 hr., 27 min.)) : digital, sound, color
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| 19. |
Subramanian, Vishnu: Deep learning with PyTorch : a practical approach to building neural network models using PyTorch / Vishnu Subramanian.. -
Birmingham, UK: Packt Publishing, 2018. - 1 online resource (1 volume) : illustrations, ISBN 978-1-78862-607-1
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| 20. |
Sawarkar, Kunal: Deep learning with PyTorch Lightning : build and train high-performance artificial intelligence and self-supervised models using Python / Kunal Sawarkar, Dheeraj Arremsetty. -
Birmingham: Packt Publishing, 2021. - 1 online resource : color illustrations, ISBN 978-1-80056-927-0
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