Large-scale restricted boltzmann machines on single GPU

Recent works on deep belief network (DBNs) have shown that applying large-scale unsupervised feature learning model can dramatically improve the performance of the applications in many fields. Training billions of parameters in these models such as restricted boltzmann machines (RBMs) appears to be computational challenging for modern CPUs. Graphical… (More)