8 Review on Variants of Restricted Boltzmann Machines and Autoencoders for Cyber-Physical Systems
Qazi Emad Ul Haq
Naif Arab University for Security Sciences (NAUSS)
Muhammad Imran
Federation University
Kashif Saleem
King Saud University
Tanveer Zia
Naif Arab University for Security Sciences (NAUSS)
Jalal Al Muhtadi
King Saud University
8.1 INTRODUCTION TO RBMs AND AUTOENCODING
Restricted Boltzmann machines, more commonly known as RBMs, are undirected graphical models that are used as an integral part of the deep learning framework. RBMs were initially introduced in 1986 by the name Harmonium by Sumit Misra [1]. One of the most recent uses of RBMs was in the Netflix Prize; it outnumbered the competition in collaboration ...
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