Restricted Boltzmann Machines: Introduction and Review

Understand

The restricted Boltzmann machine is a network of stochastic units with undirected interactions between pairs of visible and hidden units.

• This model was popularized as a building block of deep learning architectures and has continued to play an important role in applied and theoretical machine learning.
• Restricted Boltzmann machines carry a rich structure, with connections to geometry, applied algebra, probability, statistics, machine learning, and other areas.
• The analysis of these models is attractive in its own right and also as a platform to combine and generalize mathematical tools for graphical models with hidden variables.