A Neighbourhood-Based Stopping Criterion for Contrastive Divergence Learning

E. Romero, F. Mazzanti, J. Delgado

Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Di…