In machine learning, a deep belief network (DBN) is a generative Graphical model, or alternatively a type of deep neural network, composed of multiple layers of Latent variables ("hidden units"), with connections between the layers but not between units within each layer.

It can be seen as a composition of Restricted Boltzmann machines