Development and Analysis of Deep Learning Architectures / Studies in Computational Intelligence Bd.867 (PDF)
(Sprache: Englisch)
This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data,...
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This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.
Bibliographische Angaben
- 2019, 1st ed. 2020, 292 Seiten, Englisch
- Herausgegeben: Witold Pedrycz, Shyi-Ming Chen
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030317641
- ISBN-13: 9783030317645
- Erscheinungsdatum: 01.11.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 12 MB
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Sprache:
Englisch
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