A Z Structure Convolutional Neural Network Implemented By Fpga In Deep Learning

In this paper, a FPGA implementation method for convolutional neural networks of deep learning is proposed. In order to solve the problem of efficiency and speed of depth learning algorithms, a Z convolutional neural network structure is presented. The structure is easy to implement with FPGA. At the same time, in order to meet the requirement of complex multi-input and multi-output practical application system and increase the speed of calculations, a 3 dimensional Z type convolutional neural network structure is proposed, and the function of hardware circuit is verified by circuit simulation.