Low power AI hardware platform for deep learning in edge computing

摘要

In this paper, we implemented the architecture of DV700 which is deep learning based image recognition accelerator in edge computing applications, and measured performance in FPGA environment. As a result, it operates at 12.9 fps in GoogleNet and 15.6 fps in SSD algorithms with 79MHz operating frequency environment.