Deep Learning Techniques for IoT Security and Privacy
Dec 2021 · Studies in Computational Intelligence Book 997 · Springer Nature
Ebook
257
Pages
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About this ebook
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.
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