Deep Learning Techniques for IoT Security and Privacy
2022 ed.
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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.
Get Deep Learning Techniques for IoT Security and Privacy by Hossam Hawash, Mohamed Abdel-Basset at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has 257 pages.
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