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.
引用
收藏
页码：243 / 251
相关论文
共 50 条
  • [1] CUDA-enabled implementation of a neural network algorithm for handwritten digit recognition
    Izotov P.Y.
    Kazanskiy N.L.
    Golovashkin D.L.
    Sukhanov S.V.
    Optical Memory and Neural Networks, 2011, 20 (2) : 98 - 106
  • [2] The Recognition of Handwritten Digits Based on BP Neural Network and the Implementation on Android
    Dan, Zhu
    Xu, Chen
    2013 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM DESIGN AND ENGINEERING APPLICATIONS (ISDEA), 2013, : 1498 - 1501
  • [3] Handwritten Digits Recognition With Subgroup Neural Network
    Wang Minghui
    Pan Xinan
    Zhong Yixin (Department of Information Engineering
    TheJournalofChinaUniversitiesofPostsandTelecommunications, 1994, (01) : 52 - 56
  • [4] Handwritten Digits Recognition with Artificial Neural Network
    Islam, Kh Tohidul
    Mujtaba, Ghulam
    Raj, Ram Gopal
    Nweke, Henry Friday
    2017 INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGY AND TECHNOPRENEURSHIP (ICE2T), 2017,
  • [5] Neural network technology for handwritten recognition
    Kussul', E.M.
    Kasatkina, L.M.
    Bajdyk, T.N.
    Lukovich, V.V.
    2001, Institut Kibernetiki im. Glushkova
  • [6] Fuzzy Logic Module of Convolutional Neural Network for Handwritten Digits Recognition
    Popko, E. A.
    Weinstein, I. A.
    5TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES (IC-MSQUARE 2016), 2016, 738
  • [7] A new artificial neural network based approach for recognition of handwritten digits
    Agrawal, Anil Kumar
    Yadav, Susheel
    Gupta, Amit Ambar
    Pandey, Vishnu
    INTERNATIONAL JOURNAL OF APPLIED PATTERN RECOGNITION, 2023, 7 (02) : 100 - 121
  • [8] Recognition Effects of Deep Convolutional Neural Network on Smudged Handwritten Digits
    Xu, Zhe
    Terada, Yusuke
    Jia, Dongbao
    Cai, Zonghui
    Gao, Shangce
    2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2018), 2018, : 412 - 416
  • [9] Digits Recognition of Marathi Handwritten Script using LSTM Neural Network
    Patil, Yamini
    Bhilare, Amol
    2019 5TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, CONTROL AND AUTOMATION (ICCUBEA), 2019,
  • [10] Recognition of Bengali Handwritten Digits Using Convolutional Neural Network Architectures
    Hasan, Md Mahmudul
    Ul Islam, Md Rafid
    Mahmood, Md Tareq
    2018 INTERNATIONAL CONFERENCE ON BANGLA SPEECH AND LANGUAGE PROCESSING (ICBSLP), 2018,
12345