Deep Learning Techniques for IoT Security and PrivacyКНИГИ » ПРОГРАММИНГ
Название: Deep Learning Techniques for IoT Security and Privacy Автор: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding Издательство: Springer Год: 2022 Формат: PDF Страниц: 487 Размер: 10 Mb Язык: English
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.
Deep Learning Applications for Cyber Security Название: Deep Learning Applications for Cyber Security (Advanced Sciences and Technologies for Security Applications) Автор: Mamoun Alazab...
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Deep Learning Techniques for IoT Security and Privacy 
