| 1. |
Chaudhury, Krishnendu: Math and architectures of deep learning. - [First edition].. -
[Shelter Island, New York]: Manning Publications, [2024]. - 1 online resource (1 video file (17 hr., 15 min.)) : sound, color.
 Online-Ressource  Film |
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| 2. |
Chaudhury, Krishnendu: Math and Architectures of Deep Learning / Krishnendu Chaudhury. -
Shelter Island, NY: Manning Publications, [2024]. - 1 online resource (1 audio file)
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| 3. |
Saitō, Kōki: Zero kara tsukuru deep learning : 5,: Seisei moderu hen / Saitō Kōki cho. - Shohan.. -
Tōkyō-to Shinjuku-ku: Orairī Japan, 2024. - 1 online resource (336 pages) : illustrations., ISBN 978-4-8144-0059-1ゼロから作るdeep learning / 斎藤康毅著.. - 初版. -
東京都新宿区: オライリー・ジャパン, 2024
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| 4. |
Benatan, Matt: Enhancing Deep Learning with Bayesian Inference : Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python / Dr. Matt Benatan, Jochem Gietema, Dr. Marian Schneider. - 1st edition.. -
Birmingham: Packt Publishing, Limited, 2023. - 1 online resource (386 p.), ISBN 978-1-80323-725-1
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| 5. |
Massaron, Luca: TensorFlow shen du xue xi xiang mu shi zhan = : TensorFlow deep learning projects / / [Mei] Luka Masaluo (Luca Massaron) [and 4 others] zhu ; Wei Bo [and 3 others] yi. - Di 1 ban.. -
Beijing: Ren min you dian chu ban she = Posts & Telecom Press, [2022]. - 1 online resource (252 pages) : illustrations., ISBN 978-1-83620-433-6
(Shen du xue xi xi lie =)
(Yi bu tu shu)TensorFlow深度学习项目实战 = : TensorFlow deep learning projects / [美] 卢卡·马萨罗 (Luca Massaron) [and 4 others] 著 ; 魏博 [and 3 others] 译.. - 第1版. -
北京: 人民邮电出版社 = Posts & Telecom Press, [2022]
Online-Ressource |
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| 6. |
Essential tools for deep learning and data science. - [First edition].. -
[Place of publication not identified]: Manning Publications, [2020]. - 1 online resource (1 video file (42 min.)) : sound, color.
Online-Ressource Film |
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| 7. |
Kumar, L. Ashok: Deep learning approach for natural language processing, speech, and computer vision : techniques and use cases / L. Ashok Kumar and D. Karthika Renuka. - First edition.. -
Boca Raton, FL: CRC Press, Taylor & Francis Group, 2023. - 1 online resource, ISBN 978-1-003-34868-9
Online-Ressource |
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| 8. |
Zocca, Valentino: Python shen du xue xi cong yuan li dao ying yong = : Python deep learning / / [Mei] Walundinuo Zuoka (Valentino Zocca) [and 3 others] zhu ; Wang Cunmin, Wang Yan yi. - Di 1 ban.. -
Beijing: Ren min you dian chu ban she = Posts & Telecom Press, [2021]. - 1 online resource (302 pages) : illustrations., ISBN 978-1-83588-856-8
(Shen du xue xi xi lie =)
(Yi bu tu shu)Python深度学习从原理到应用 = : Python deep learning / [美] 瓦伦蒂诺·佐卡 (Valentino Zocca) [and 3 others] 著 ; 王存珉, 王燕 译.. - 第1版. -
北京: 人民邮电出版社 = Posts & Telecom Press, [2021]
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| 9. |
Vasilev, Ivan: Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow / Ivan Vasilev [and four others].. - Second edition.. -
Birmingham, UK: Packt Publishing, 2019. - 1 online resource (1 volume) : illustrations, ISBN 978-1-78934-970-2
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| 10. |
Simon, Cher: Deep learning and XAI techniques for anomaly detection : integrating the theory and practice of deep anomaly explainability / Cher Simon ; foreword by Jeff Barr. - 1st edition.. -
Birmingham, UK: Packt Publishing Ltd., 2023. - 1 online resource (130 pages) : illustrations, ISBN 978-1-80461-775-5
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| 11. |
Madani, Ali: Debugging machine learning models with Python : develop high-performance, low-bias, and explainable machine learning and deep learning models / Ali Madani ; foreword by Stephen MacKinnon. -
Birmingham, UK: Packt Publishing Ltd., 2023. - 1 online resource : illustrations, ISBN 978-1-80020-113-2
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| 12. |
Koul, Anirudh: Dīpu rāningu jissen gaido : kuraudo, mobairu, burauza, ejji debaisu muke AI apuri kaihatsu nyūmon / Anirudh Koul, Siddha Ganju, Meher Kasam cho ; Adachi Masahiko, Ōta Mitsuhisa, Shinmura Takuya, Fujiw… . - Shohan.. -
Tōkyō-to Shinjuku-ku: Orairī Japan, 2023. - 1 online resource (616 pages), ISBN 978-4-8144-0028-7ディープラーニング実践ガイド : クラウド, モバイル, ブラウザ, エッジデバイス向けAIアプリ開発入門 / Anirudh Koul, Siddha Ganju, Meher Kasam著 ; 足立昌彦, 太田満久, 新村拓也, 藤原秀平, 松田実法監訳 ; 牧野聡訳 = Practical deep learning for cloud, mobile, and Edge : real-world AI and computer-vision projects using Python, Keras and TensorFlow / Anirudh Koul, Siddha Ganju, and Meher Kasam.. - 初版: オライリー・ジャパン, 2023
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| 13. |
Verdhan, Vaibhav: Computer Vision Using Deep Learning : Neural Network Architectures with Python and Keras / Verdhan, Vaibhav. - 1st edition. -
[Erscheinungsort nicht ermittelbar]: Apress, 2021. - 1 online resource (320 pages), ISBN 978-1-4842-6616-8
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| 14. |
Buduma, Nikhil: Deep learning shen du xue xi ji chu : she ji xia yi dai ren gong zhi hui yan suan fa / Nikhil Buduma zhu ; Lan Zixuan yi. - [First edition].. -
[Place of publication not identified]: GoTop Information, Inc., [2018]. - 1 online resource (304 pages) : illustrationsDeep learning 深度學習基礎 : 設計下一代人工智慧演算法 / Nikhil Buduma 著 ; 藍子軒 譯.
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| 15. |
Hübner, Marco: Deep learning-based synthesis of surgical hyperspectral images / submitted by Marco Hübner ; under the supervision of Prof. Dr. Carsten Rother and Prof. Dr. Lena Mai… . -
Heidelberg, 2021. - 1 Online-Ressource (IX, 99 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00031421
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| 16. |
Raghavendra, Sujay: Beginner's guide to Streamlit with Python : build web-based data and machine learning applications / Sujay Raghavendra. - [First edition].. -
New York, NY: Apress, [2023]. - 1 online resource (215 pages) : illustrations, ISBN 978-1-4842-8983-9
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| 17. |
Bhattacharyya, Rajib: The Indian economy : issues, policies and performance / Rajib Bhattacharyya and Ananya Ghosh Dastidar. -
London ; New York: Routledge, Taylor & Francis Group, 2024. - xxiv, 277 Seiten : Diagramme, ISBN 978-1-032-51063-7
 Buch/keine Angabe |
ausleihbar  Signatur: 2024 A 3930
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| 18. |
Palczewski, Tomasz: PRODUCTION-READY APPLIED DEEP LEARNING : learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks / Tomasz Palczewski, Jaejun (Brandon) Lee, Lenin Mookiah. -
[Erscheinungsort nicht ermittelbar]: PACKT PUBLISHING LIMITED, 2022. - 1 online resource, ISBN 978-1-80323-805-0
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| 19. |
Radev, Stefan: Deep learning architectures for amortized Bayesian inference in cognitive modeling / presented by Stefan Radev, M.Sc. ; advisors: Prof. Dr. Andreas Voss [und ein weiterer Gutachter]. -
Heidelberg, 25 Nov. 2021. - 1 Online-Ressource (208 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00030807
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| 20. |
Michelucci, Umberto: Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with Python / Umberto Michelucci. - 2nd ed.. -
New York, NY: Apress, [2022]. - 1 online resource (397 pages) : illustrations, ISBN 978-1-4842-8020-1
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