Improved Algorithm Based on the Deep Integration of Googlenet and Residual Neural Network

Abstract

In this paper, we propose a new improved algorithm based on the deep integration of GoogleNet and Residual neural network and we call it GRSN. The new improved algorithm has the new advantages of multi-size and small convolution kernel in the same layer in the network and the advantage of interlayer hop connection (bypass) to reduce information loss. The algorithm is applied to the general image data set cifair10, and the experimental results are compared with that of GoogleNet, the accuracy is improved, the convergence is accelerated, and the stability is better.