Deep Learning Techniques for IoT Security and Privacy / Studies in Computational Intelligence Bd.997 (PDF)
(Sprache: Englisch)
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should...
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Produktinformationen zu „Deep Learning Techniques for IoT Security and Privacy / Studies in Computational Intelligence Bd.997 (PDF)“
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
Bibliographische Angaben
- Autoren: Mohamed Abdel-Basset , Nour Moustafa , Hossam Hawash , Weiping Ding
- 2021, 1st ed. 2022, 257 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030890252
- ISBN-13: 9783030890254
- Erscheinungsdatum: 05.12.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 6.32 MB
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- Vorlesefunktion
Sprache:
Englisch
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