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portada Deep Learning Techniques for Iot Security and Privacy
Type
Physical Book
Author
Publisher
Language
English
Pages
257
Format
Paperback
Dimensions
23.4x15.6x1.5 cm
Weight
0.39 kg.
ISBN13
9783030890278
Categories

Deep Learning Techniques for Iot Security and Privacy

Mohamed Abdel-Basset (Author) · Nour Moustafa (Author) · Hossam Hawash (Author) · Springer · Paperback

Deep Learning Techniques for Iot Security and Privacy - Abdel-Basset, Mohamed ; Moustafa, Nour ; Hawash, Hossam

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Synopsis "Deep Learning Techniques for Iot Security and Privacy "

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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The book is written in English.

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The binding of this edition is Paperback.

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