Study on Image Classification with Convolution Neural Networks

被引:1
|
作者
Wang, Lei [1 ,2 ]
Zhang, Yanning [1 ]
Xi, Runping [1 ]
机构
[1] Northwestern Polytech Univ, Sch Comp, Shan Xi Prov Key Lab Speech & Image Informat Proc, Xian 710072, Peoples R China
[2] E China Inst Technol, Fac Informat Engn, Nanchang 330013, Peoples R China
关键词
Image classification; Handwritten digits; Deep learning; Convolutional Neural Networks (CCN);
D O I
10.1007/978-3-319-23989-7_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Classification is one of the most popular topics in image process. In this paper, it provides the specific process of convolutional neural network in deep learning. Here builds typical convolution neural network which parameters and the connection mode can be adjusted. In addition, we present our preliminary classification results. Through the experiments of a convolutional neural network on the Mixed National Institute of Standards and Technology database (MNIST), we compared with the classification results and analyzed in the experimental results with the parameters. The experimental results show that image classification effect is very good used by convolutional neural network.
引用
收藏
页码:310 / 319
页数:10
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