Boltzmann Machines are bidirectionally connected networks of stochastic processing units, i.e. units that carry out randomly determined processes.

Quantum Computing

This is a companion discussion topic for the original entry at http://iq.opengenus.org/restricted-boltzmann-machine/

A Boltzmann Machine can be used to. Generally, this learning problem is quite difficult and time consuming. However, the learning problem can be simplified by introducing restrictions on a Boltzmann Machine, hence why, it is called ahas found applications inand is commonly used in dimensionality reduction, classification, feature learning, topic modelling , recommendation systems and music generation.