Deep Learning on Mobile Devices With Neural Processing Units
Tianxiang Tan, Guohong Cao
Abstract
Although deep neural networks (DNNs) can require less processing time when running on neural processing units (NPUs) instead of CPUs, their accuracy can degrade. We point out three research directions to improve DNN performance on mobile devices with NPUs.
Topics & Concepts
Computer scienceArtificial neural networkMobile deviceDeep learningArtificial intelligencePoint (geometry)Deep neural networksComputer architectureOperating systemMathematicsGeometryIoT and Edge/Fog ComputingAdvanced Neural Network ApplicationsContext-Aware Activity Recognition Systems