A deep belief network (DBN) example can be created using EdrawMax or EdrawMax Online. In machine learning, a deep belief network is a generative graphical model, or alternatively a class of deep neural networks, composed of multiple layers of latent variables, known as hidden units, with connections between the layers but not between units within each layer. As the deep belief network diagram example suggests, a DBN can be viewed as a composition of simple, unsupervised networks such as restricted Boltzmann machines or autoencoders. Deep-belief networks are used to recognize, cluster, and generate images, video sequences, and motion-capture data.
