Machine Learning, Probabilistic Modelling, Rbm, Deep Belief Network.
to capture the data distribution, nonlinear factor analysis, clustering algorithm, nonlinear data representation. In term of practice, it is a very fast learning algorithm, short implementation, handle binary, real input data, even for missing values input vector. Follow that, numerous applications