Exploiting Weight Statistics for Compressed Neural Network Implementation on Hardware

Computing hardware like field programmable gate arrays (FPGAs), microcontrollers and microprocessors can have limited compute and on-chip storage resources. This is especially true for computing hardware in Internet of Things (IoT) and low end embedded systems. With the growth in machine and deep learning, it is imperative to build intelligence in these devices. Therefore, this paper proposes expl...