Boltzmann Machine (BM)

A Boltzmann machine network involves learning a probability distribution from an original dataset and using it to make inference about unseen data. In BMs, there are input nodes and hidden nodes, as soon as all our hidden nodes change its state, our input nodes transform into output nodes. For instance: Suppose we work in a nuclear power plant, where safety must be the number one priority.