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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 7. decembris |
| ISBN13 | 9783030890278 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 257 |
| Izmēri | 150 × 220 × 10 mm · 433 g |
| Valoda | Vācu |
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