Influence of Different Pooling Operation Functions on Image Classification and Recognition Rate of Convolutional Neural Network
Lijun Yang, Mei Zhou, Lili Xu, Jianming Liu · 2021
The convolution neural network has proved to be an efficient method for the image processing. It can optimize the convolution of the convolutional neural network and the filter in the poolinglayer Function, and optimize the performance of the role, and the number of parameters. It can construct a certain structure of the convolution neural network, and then the image data set is classified and processed to obtain the image model of the desired classification result.