| 1. |
Chaudhury, Krishnendu: Math and architectures of deep learning / Krishnendu Chaudhury, with Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar ; foreword by Prith … . -
Shelter Island, NY: Manning Publications, [2024]. - 1 online resource (xxvi, 523 pages) : illustrations., ISBN 978-1-61729-648-2
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| 2. |
Kim, Hee Eun: Efficient deep learning at inference time for gram stained image classification / vorgelegt von Hee E. Kim ; Referent: Prof. Dr. med. Thomas Ganslandt. -
Heidelberg, 12 Jun. 2024. - 1 Online-Ressource (96 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00034902
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| 3. |
Kouziokas, Georgios N.: Swarm intelligence and evolutionary computation : theory, advances and applications in machine learning and deep learning / Georgios N. Kouziokas, Lecturer, School of Engineering, University of Thessaly, Greece. - First edition. -
Boca Raton ; London ; New York: CRC Press, 2023. - 1 Online-Ressource (xiii, 203 Seiten) : Illustrationen, Diagramme, ISBN 978-1-003-24774-6
DOI: 10.1201/9781003247746
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| 4. |
Wang, Yinpeng: Deep learning-based forward modeling and inversion techniques for computational physics problems / Yinpeng Wang, Qiang Ren. - First edition.. -
Boca Raton, FL: CRC Press, 2024. - 1 online resource (xiii, 185 pages) : illustrations (some color), ISBN 978-1-003-39783-0
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| 5. |
Gharehbaghi, Arash: Deep learning in time series analysis / Arash Gharehbagh. - First edition.. -
Boca Raton: CRC Press, 2023. - 1 online resource., ISBN 978-0-429-32125-2
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| 6. |
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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| 7. |
Buduma, Nithin: Fundamentals of deep learning : designing next-generation machine intelligence algorithms / Nithin Buduma, Nikhil Buduma, and Joe Papa ; with contributions by Nicholas Locascio. - Second edition. -
Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo: O'Reilly, 2022. - 1 online resource (76 pages)
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| 8. |
Deep learning and its applications for vehicle networks / edited by Fei Hu and Iftikhar Rasheed. - First edition.. -
Boca Raton: CRC Press, [2023]. - 1 online resource, ISBN 978-1-003-19069-1
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| 9. |
Chin, Ee Kin: The deep learning architect's handbook : build and deploy production-ready DL solutions leveraging the latest Python techniques / Ee Kin Chin. - 1st edition.. -
Birmingham: Packt Publishing, 2023. - 1 online resource (530 pages), ISBN 978-1-80323-534-9
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| 10. |
Ardizzone, Lynton: Conditional invertible generative models for supervised problems / vorgelegt von Lynton Ardizzone, MSc. ; Betreuer: apl.-Prof. Ullrich Köthe. -
Heidelberg, 07 Nov. 2023. - 1 Online-Ressource (166 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00033932
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| 11. |
Ayala, Leonardo: Translational functional imaging in surgery enabled by deep learning / vorgelegt von Leonardo Antonio Ayala Menjivar ; Doktormutter: Lena Maier-Hein. -
Heidelberg, 17 Jul. 2023. - 1 Online-Ressource (204 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00033281
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| 12. |
Schellenberg, Melanie: Learning tissue geometries for photoacoustic image analysis / vorgelegt von Schellenberg, Melanie, M.Sc. ; Erstbetreuerin: Prof. Dr. Lena Maier-Hein [und ein wei… . -
Heidelberg, 2023. - 1 Online-Ressource (xvi, 169, XXXVIII Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00034187
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| 13. |
Deep learning and its applications using Python / [edited by] Niha Kamal Basha... and [and 3 others]. -
Hoboken, NJ ; Beverly, MA: John Wiley & Sons, Inc., 2023. - 1 online resource (256 pages), ISBN 978-1-394-16779-1
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| 14. |
Kouziokas, Georgios N.: Swarm intelligence and evolutionary computation : theory, advances and applications in machine learning and deep learning / Georgios N. Kouziokas. -
Boca Raton: CRC Press, 2023. - 1 online resource : illustrations (black and white, and colour), ISBN 978-1-000-84620-1
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| 15. |
Albert, Steffen: Prediction of treatment response and outcome in locally advanced rectal cancer using radiomics / put forward by Steffen Albert, M.Sc. ; referees: Prof. Dr. Lothar R. Schad [und ein weiterer Gutacht… . -
Heidelberg, 2023. - 1 Online-Ressource (xii,139 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00034188
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| 16. |
Deep learning : Convolutional neural networks with TensorFlow. - [First edition].. -
[Place of publication not identified]: Packt Publishing, [2023]. - 1 online resource (1 video file (3 hr., 41 min.)) : sound, color., ISBN 978-1-80107-627-2
(Academic Video Online)
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| 17. |
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
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| 18. |
Golla, Alena-Kathrin: Optimized training pipeline for deep learning applications in medical image processing / vorgelegt von Alena-Kathrin Golla ; Referent: Prof. Dr. Ing. Frank G. Zöllner. -
Heidelberg, 2022. - 1 Online-Ressource (xviii, 112 Seiten) : Illustrationen, Diagramme
DOI: 10.11588/heidok.00030833
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| 19. |
Lanquillon, Carsten: Knowledge Science – Grundlagen : Methoden der Künstlichen Intelligenz für die Wissensextraktion aus Texten / von Carsten Lanquillon, Sigurd Schacht. - 1st ed. 2023.. -
Wiesbaden: Springer Fachmedien Wiesbaden, 2023.. - 1 Online-Ressource(VI, 207 S. 70 Abb., 12 Abb. in Farbe.), ISBN 978-3-658-41689-8
DOI: 10.1007/978-3-658-41689-8
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| 20. |
AI in Museums : reflections, perspectives and applications / Sonja Thiel, Johannes C. Bernhardt (eds.). -
Bielefeld: transcript, 2024. - 1 Online-Ressource (318 Seiten), ISBN 978-3-8394-6710-7
(Edition Museum ; 74)
DOI: 10.1515/9783839467107
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