22 / 2016-12-15 11:43:56
Simple Convolution neural network on image classification
Convolution neural network; Deep learning; Image classification
终稿
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16日

    2017

    02月18日

    2017

  • 01月20日 2017

    初稿截稿日期

  • 01月30日 2017

    初稿录用通知日期

  • 02月10日 2017

    终稿截稿日期

  • 02月18日 2017

    注册截止日期

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