A topological insight into restricted Boltzmann machines

20 Apr 2016Decebal Constantin MocanuElena MocanuPhuong H. NguyenMadeleine GibescuAntonio Liotta

Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic features extraction, unsupervised weights initialization, but also as density estimators. Thus, their generative and discriminative capabilities, but also their computational time are instrumental to a wide range of applications... (read more)

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