Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks

that are guaranteed to approximate any given strictly positive continuous distribution within a given error . Finally, numerical experiments are carried out to verify some of the proposed theoretical results.