A Study on Object Classification Using Deep Convolutional Neural Networks and Comparison with Shallow Networks

被引：0
|
作者：
Erdas, Ali [1 ]
Arslan, Erhan [1 ]
Ozturkcan, Berkay [1 ]
Yildiran, Ugur [1 ]
机构：
[1] Yeditepe Univ, Dept Ind & Syst Engn, Istanbul, Turkey
来源：
2018 6TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT) | 2018年
关键词：
deep convolutional neural networks; CNN; image classification; CFAR-10; GPU;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The aim of this work is to solve object classification problem using Neural Networks. Two types of neural networks are used and compared, namely, classical Feed Forward Neural Networks and Deep Convolutional Networks. Success of the designed networks is investigated using CIFAR-10 dataset.
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页数：4
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