Technology of implementation of neural network algorithm in cuda environment at the example of handwritten digits recognition

被引：0
|
作者：
Izotov, P.Y. [1 ]
Sukhanov, S.V. [1 ]
Golovashkin, D.L. [2 ]
机构：
[1] S. P. Korolyov Samara State Aerospace University, Russia
[2] Image Processing Systems Institute of the Russian Academy of Sciences, Russia
来源：
Computer Optics | 2010年 / 34卷 / 02期
关键词：
Character recognition - Program processors - Convolution - Graphics processing unit;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
On a convolution neural network example features of implementation of pattern recognition algorithm on Graphic Processing Unit (GPU) on NVIDIA CUDA are shown. Duration of training of a network on the video adapter is reduced in 5.96, and recognition of test samples set in 8.76 times in comparison with the optimised algorithm which uses only central processor (CPU) for calculations. Perspective of implementation of such neural network algorithms on graphic processors is shown. © 2010, Institution of Russian Academy of Sciences. All rights reserved.
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页码：243 / 251
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