| 1. |
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
 Online-Ressource |
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| 2. |
Swarm intelligence and evolutionary algorithms in healthcare and drug development / edited by Sandeep Kumar, Anand Nayyar, Anand Paul. -
New York, NY: CRC Press, [2020]. - xxii, 145 Seiten : Diagramme, ISBN 978-0-367-25757-6
 Buch/keine Angabe |
ausleihbar  Signatur: 2020 A 6194
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| 3. |
Swarm, Evolutionary, and Memetic Computing : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Sat… . -
Cham: Springer, 2016. - Online-Ressource (XI, 288 p. 117 illus, online resource), ISBN 978-3-319-48959-9
(Lecture Notes in Computer Science ; 9873)
(SpringerLink : Bücher)
(Theoretical Computer Science and General Issues ; 9873)
(Springer eBook Collection : Computer Science)
DOI: 10.1007/978-3-319-48959-9
Online-Ressource |
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| 4. |
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)
Online-Ressource |
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| 5. |
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
Online-Ressource |
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| 6. |
Lanham, Micheal: Evolutionary deep learning : genetic algorithms and neural networks / Micheal Lanham. -
Shelter Island: Manning, [2023]. - xxii, 336 Seiten : Illustrationen, Diagramme, ISBN 978-1-61729-952-0
Buch/keine Angabe |
Signatur: LN-U 10-19880
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| 7. |
Quantum computing and artificial intelligence : training machine and deep learning algorithms on quantum computers / edited by Pethuru Raj, Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia and Oswalt Manoj S. -
Berlin ; Boston: De Gruyter, [2023]. - XIII, 293 Seiten : Illustrationen, Diagramme, ISBN 978-3-11-079125-9
(Quantum Computing)
Buch/keine Angabe |
Signatur: LN-U 10-19883
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| 8. |
Theory and Practice of Natural Computing : 5th International Conference, TPNC 2016, Sendai, Japan, December 12-13, 2016, Proceedings / edited by Carlos Martín-Vide, Takaaki Mizuki, Miguel A. Vega-Rodríguez. -
Cham: Springer, 2016. - Online-Ressource (XIV, 221 p. 88 illus, online resource), ISBN 978-3-319-49001-4
(Lecture Notes in Computer Science ; 10071)
(Springer eBook Collection : Computer Science)
(SpringerLink : Bücher)
(Theoretical Computer Science and General Issues ; 10071)
DOI: 10.1007/978-3-319-49001-4
Online-Ressource |
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| 9. |
Machine Learning under Resource Constraints : Applications / edited by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer. -
Berlin ; Boston: De Gruyter, 2022. - 1 Online-Ressource (VIII, 470 Seiten), ISBN 978-3-11-078598-2
(Machine Learning under Resource Constraints ; Volume 3)
(De Gruyter STEM)
DOI: 10.1515/9783110785982
Online-Ressource |
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| 10. |
Handbook of deep learning in biomedical engineering : techniques and applications / edited by Valentina Emilia Balas (Full Professor, Department of Automatics and Applied Software Aure… . -
London ; San Diego, CA ; Cambridge, MA ; Oxford: Academic Press, [2021]. - xvii, 298 Seiten : Illustrationen, Diagramme, ISBN 978-0-12-823014-5
Buch/keine Angabe |
Signatur: UBN/XC 4001 B171
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| 11. |
Iten, Raban: Artificial intelligence for scientific discoveries : extracting physical concepts from experimental data using deep learning / Raban Iten. -
Cham: Springer, 2023. - 1 Online-Ressource (XIII, 170 Seiten), ISBN 978-3-031-27019-2
DOI: 10.1007/978-3-031-27019-2
Online-Ressource |
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| 12. |
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
Online-Ressource |
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| 13. |
Hirschle, Jochen: Machine Learning für Zeitreihen : Einstieg in Regressions-, ARIMA- und Deep-Learning-Verfahren mit Python / Jochen Hirschle. -
München: Hanser, [2021]. - VII, 267 Seiten : Illustrationen, Diagramme, ISBN 978-3-446-46726-2
Buch/keine Angabe  Inhaltsverzeichnis: 1, 2 |
Signatur: LN-U 10-19463
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| 14. |
Buduma, Nikhil: Fundamentals of deep learning : designing next-generation machine intelligence algorithms / Nikhil Buduma ; with contributions by Nicholas Locascio.. - First edition.. -
Sebastopol, CA: O'Reilly Media, [2017]. - 1 online resource (1 volume) : illustrations
Online-Ressource |
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| 15. |
Goodfellow, Ian: Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville. -
Cambridge, Massachusetts ; London, England: The MIT Press, [2016]. - xxii, 775 Seiten : Illustrationen, Diagramme, ISBN 978-0-262-03561-3
(Adaptive computation and machine learning)
Buch/keine Angabe |
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| 16. |
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
Online-Ressource |
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| 17. |
Géron, Aurélien: Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme / Aurélien Géron ; deutsche Übersetzung von Kristian Rother & Thomas Demmig. - 3., aktualisierte und erweiterte Auflage. -
Heidelberg: O'Reilly, 2023. - 876 Seiten : Illustrationen, Diagramme, ISBN 978-3-96009-212-4
Buch/keine Angabe |
Signatur: LN-U 10-18726::(3)
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| 18. |
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
Online-Ressource |
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| 19. |
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, [2024?]. - 84 Seiten : Illustrationen, Diagramme
Buch/keine Angabe |
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| 20. |
Aggarwal, Charu C.: Neural Networks and Deep Learning : A Textbook / by Charu C. Aggarwal. - 2nd ed. 2023.. -
Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XXIV, 529 p. 150 illus., 22 illus. in color.), ISBN 978-3-031-29642-0
DOI: 10.1007/978-3-031-29642-0
Online-Ressource |
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