Embedded deep neural networks: “The cost of everything and the value of nothing”

Abstract

•Deep Learning for Embedded is all about Inference •Standard Networks are designed to achieve high-accuracy •Embedded implementation on architectures such as Movidius VPU can achieve significant performance results at the network edge •Next challenge is to further optimise networks to maximise performance per Watt