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Deep Learning Techniques for IoT Security and Privacy - Studies in Computational Intelligence Mohamed Abdel-Basset 2022 edition
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Deep Learning Techniques for IoT Security and Privacy - Studies in Computational Intelligence
Mohamed Abdel-Basset
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.
257 pages, 69 Illustrations, color; 2 Illustrations, black and white; XXI, 257 p. 71 illus., 69 illu
| Media | Böcker Inbunden Bok (Inbunden bok med hårda pärmar och skyddsomslag) |
| Releasedatum | 6 december 2021 |
| ISBN13 | 9783030890247 |
| Utgivare | Springer Nature Switzerland AG |
| Antal sidor | 257 |
| Mått | 150 × 220 × 20 mm · 566 g |
| Språk | Tyska |
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