Hardware Generator for Edge Artificial Intelligent Inference System

This paper designs an optimized hardware generator (IP Generator) based on convolutional neural networks. Users can use IP Generator to create any hardware architectures for neural network model they want. By the efficient user interface, the IP generator can output the architecture. You can get the corresponding optimized Verilog code efficiently. The network is a network model that simplifies some network layers by Yolo-v1. It can run 100MHz on Xilinx ZCU102 board which can reach 28.8GOP/s.