A Novel Image Classification Algorithm using CNN on A Small Computation Platform

被引：0

作者：

Zhang, Chaoyan ^{[1
]}

Guo, Baolong ^{[1
]}

Zheng, Yan ^{[1
]}

Li, Cheng ^{[1
]}

Xie, Guangyi ^{[1
]}

机构：

[1] Xidian Univ, Inst Intelligent Control & Image Engn, Xian 710071, Shaanxi, Peoples R China

来源：

TWELFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2020) | 2020年 / 11519卷

基金：

中国国家自然科学基金;

关键词：

Deep learning; Convolutional neural network; Kernel size;

D O I：

10.1117/12.2572981

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Image classification and recognition has always been a key issue in the field of computer vision. Not only has it achieved great development, but its research space has broad prospects. This paper first explains the advantages and disadvantages of the traditional image classification methods, and then introduces the development on the neural network model. The algorithm proposed in this paper is mainly based on the LeNet-5 network, and the experiment is performed on the CIFAR-10 dataset. The improved neural network is superior to original model in classification accuracy.

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页数：7

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