Deep Learning: Algorithms and Applications / Studies in Computational Intelligence Bd.865 (PDF)
(Sprache: Englisch)
This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being...
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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
Bibliographische Angaben
- 2019, 1st ed. 2020, 360 Seiten, Englisch
- Herausgegeben: Witold Pedrycz, Shyi-Ming Chen
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030317609
- ISBN-13: 9783030317607
- Erscheinungsdatum: 23.10.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 17 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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