Implementation of Deep Neural Network on Image Classification

  • Rui Zhong
    The Graduate School of Library, Information and Media Studies, University of Tsukuba
  • Taro Tezuka
    The Graduate School of Library, Information and Media Studies, University of Tsukuba

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説明

In this research we implemented a scalable deep convolutional neural network based on GPU accelerating techniques, optimized the network architecture on GPU architecutre and reduced the training time by organizing device memory to taking advantages of parallel memory access. We adopted back propagation with limited kernel functions to get higher efficiency. Also we experiment on how learning rate parameters effect the deep network. Experiments on all cases of MNIST training and testing takes less than 15 minutes with an acceptable recognition rate.

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詳細情報 詳細情報について

  • CRID
    1573105977763234944
  • NII論文ID
    110009795485
  • NII書誌ID
    AN10505667
  • ISSN
    09196072
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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