11 / 2016-12-12 13:59:07
Simple Convolution neural network on image classification
12068,12069,8554
摘要录用
Guo Tianmei Guo / university of JINAN
In recent years, deep learning has been used in image classification, object tracking, pose estimation, text detection and recognition, visual saliency detection, action recognition and scene labeling. Among different type of deep neural networks, convolution neural networks has been demonstrated high performance on image classification. In this paper we proposed a simple convolution neural network on image classification. This simple convolution neural network achieves good performance and accuracy and imposes less computational cost. Our experiments are based on benchmarking datasets minist[1]. On the basis of the convolution neural network , we also analyzed different methods of learning rate set and different optimization algorithm of solving the optimal parameters of the influence on image classification. So that we can select the appropriate strategy in image classification.
重要日期
  • 会议日期

    02月09日

    2017

    02月10日

    2017

  • 08月30日 2016

    初稿截稿日期

  • 10月15日 2016

    初稿录用通知日期

  • 11月25日 2016

    终稿截稿日期

  • 02月10日 2017

    注册截止日期

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IEEE
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