Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework

Siqiao Ruan, Ian Colbert, Ken Kreutz-Delgado +1

The use of Deep Learning hardware algorithms for embedded applications is characterized by challenges such as constraints on device power consumption, availability of labeled data,…