Häftad, Engelska, 2022
Deep Learning Techniques for IoT Security and Privacy
Av Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
1800 kr
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Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2022-12-07
- Mått: 155 x 235 x 16 mm
- Vikt: 429 g
- Format: Häftad
- Språk: Engelska
- Serie: Studies in Computational Intelligence
- Antal sidor: 257
- Förlag: Springer Nature Switzerland AG
- ISBN: 9783030890278
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