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In the original RBM, both visible and hidden units are binary. Therefore, it is also called as Binary-Binary RBM (BB-RBM). To Abstract Restricted Boltzmann Machines, Deep Boltzmann Machines, and their extensions have brought much attention and become powerful tools for many machine learning tasks. The increased popularity of these techniques is not only limited in modelling static data but also time-series data. In this paper, we aim to give a review of recent developments of such models fordoi:10.26717/bjstr.2017.01.000336 fatcat:mg4czqdceng7viogpu5b4dzlg4