Comparison of convolutional neural network in Python']Python environment on CPU and GPU

被引：0

作者：

Sykora, Peter ^{[1
]}

Sinko, Martin ^{[1
]}

Vrskova, Roberta ^{[1
]}

Kamencay, Patrik ^{[1
]}

Hudec, Robert ^{[1
]}

机构：

[1] Univ Zilina, Fac Elect Engn & Informat Technol, Dept Multimedia & Informat Commun Technol, Zilina, Slovakia

来源：

13TH INTERNATIONAL CONFERENCE ON ELEKTRO (ELEKTRO 2020) | 2020年

关键词：

machine learning; artificial neural networks; classification; AlexNet; ResNet; MNIST; !text type='Python']Python[!/text;

D O I：

10.1109/elektro49696.2020.9130321

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

the comparison of the convolutional neural network in Python environment is presented in this paper. The Anaconda platform provides free and easy to use tools for Python scripting language. After introduction to the environment, the experiment is described. First the used neural network architectures are shown. Used databases are defined later. Finally, the results are presented. The testing was done to determine the computational time needed for these architectures.

引用

页数：4

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