| 1. |
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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| 2. |
International Conference on Computer Science and Mechanical Automation <2., 2016, Wuhan>: Current trends in computer science and mechanical automation : selected papers from CSMA2016 - Volume 2 / Shawn X. Wang (ed.). -
Warsaw ; Berlin: De Gruyter Open, 2018. - 1 Online-Ressource (XX, 662 Seiten), ISBN 978-3-11-058499-8
DOI: 10.1515/9783110584998
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| 3. |
International Conference on Computer Science and Mechanical Automation <2., 2016, Wuhan>: Current trends in computer science and mechanical automation : selected papers from CSMA2016 - Volume 1 / Shawn X. Wang (ed.). -
Warsaw ; Berlin: De Gruyter Open, 2018. - 1 Online-Ressource (XX, 637 Seiten), ISBN 978-3-11-058497-4
DOI: 10.1515/9783110584974
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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. |
Manu, Joseph: MODERN TIME SERIES FORECASTING WITH PYTHON : explore industry-ready time series forecasting using modern machine learning and deep learning / Manu Joseph. - 1st edition.. -
[Erscheinungsort nicht ermittelbar]: PACKT PUBLISHING LIMITED, 2022. - 1 online resource, ISBN 978-1-80323-204-1
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| 6. |
The SAGE handbook of research methods in political science and international relations
Volume 2. - . -
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne: SAGE, [2020]. - xlii Seiten, Seite 578-1244 : Diagramme, Karten, Illustrationen, ISBN 978-1-5264-5993-0
 Mehrteiliges Werk |
ausleihbar  Signatur: 2020 A 9452::2
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| 7. |
Jewish Studies in the Digital Age / ed. by Michelle Margolis, Amalia S. Levi, Daniel Stökl Ben Ezra, Miriam Rürup, Gerben Zaagsma. -
München ; Wien: De Gruyter Oldenbourg, [2022]. - 1 Online-Ressource (VII, 382 p.), ISBN 978-3-11-074482-8
(Studies in Digital History and Hermeneutics ; 5)
DOI: 10.1515/9783110744828
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| 8. |
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]
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| 9. |
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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| 10. |
Kulkarni, Akshay R.: Time Series Algorithms Recipes : Implement Machine Learning and Deep Learning Techniques with Python / Akshay R. Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V. Adithya Krishnan. -
New York, NY: Apress L. P., [2023]. - 1 online resource (xvi, 174 pages) : illustrations, ISBN 978-1-4842-8978-5
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| 11. |
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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| 12. |
Natural language processing : deep learning models in Python. - [First edition].. -
[Birmingham, United Kingdom]: Packt Publishing, [2024]. - 1 online resource (1 video file (6 hr., 29 min.)) : sound, color., ISBN 978-1-83620-801-3
Online-Ressource  Film |
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| 13. |
Kaabar, Sofien: Deep learning for finance : creating machine & deep learning models for trading in Python / Sofien Kaabar. - [First edition].. -
[Place of publication not identified]: Ascent Audio, 2024. - 1 online resource (1 sound file (10 hr., 15 min.)), ISBN 978-1-6637-3557-7
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| 14. |
Kaabar, Sofien: DEEP LEARNING FOR FINANCE : creating machine & deep learning models for trading in Python / Sofien Kaabar. -
Sebastopol, CA: O'Reilly Media, Inc., [2024]. - 1 online resource, ISBN 978-1-0981-4836-2
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| 15. |
Hermann, Ingo: Accelerated white matter lesion analysis based on simultaneous T1 and T*2 quantification using magnetic resonance fingerprinting and deep learning / Ingo Hermann, Eloy Martínez-Heras, Benedikt Rieger, Ralf Schmidt, Alena-Kathrin Golla, Jia-Sheng Hon… , 2021. - 16 S.
In: Magnetic resonance in medicine, ISSN 1522-2594. 86(2021), 1, Seite 471-486
DOI: 10.1002/mrm.28688
Online-Ressource  Zeitschriftenartikel |
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| 16. |
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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| 17. |
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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| 18. |
FUTURE/PRESENT : Arts in a Changing America / ed. by Roberta Uno, Daniela Alvarez, Elizabeth M. Webb. -
Durham: Duke University Press, [2024]. - 1 Online-Ressource (568 p.), ISBN 978-1-4780-9371-8
DOI: 10.1515/9781478093718
Online-Ressource |
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| 19. |
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
Online-Ressource |
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| 20. |
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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