Showing 41 - 60 results of 11,333 for search '"CNN"', query time: 1.25s Refine Results
  1. 41
    by Sangwoo Park, Taeweon Suh
    Published 2020-01-01
    ... descent algorithm in the neural network training is inherently sequential. This paper proposes a novel CNN...
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  2. 42
  3. 43
    by Gi Pyo Nam, Heeseung Choi, Junghyun Cho, Ig-Jae Kim
    Published 2018-09-01
    ... learning, namely the convolutional neural network (CNN) model. Nevertheless, the recognition performance...
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  4. 44
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  6. 46
    by Yi-Hsuan Chen, 陳奕瑄
    Published 2018
    ... in a picture by using Convolutional Neural Networks (CNN). We use the VGG-16 model in our experiments...
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  7. 47
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  9. 49
    by Yang, Hsin-Wei, 楊馨媁
    Published 2019
    ... and convolution neural network (CNN) for handwritten invoice recognition, this method can help enterprises solve...
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  10. 50
  11. 51
    by Fattah Azzuhry Rahadian, 哈帝恩
    Published 2019
    ... is convolutional neural network (CNN). Despite the performance of CNN, deploying CNN in mobile and embedded devices...
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  12. 52
    by Chun-Man Lin, 林君蔓
    Published 2019
    ... in the computer vision, the accuracy of age estimation is also increasing. Early CNN-based works used four to five...
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  13. 53
    by Ching-Tang Chang, 張景棠
    Published 2019
    ... and use CNN to train the features of each block separately. Finally, each feature is voted in an ensemble...
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  17. 57
    Subjects: ...convolutional neural network (cnn)...
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  18. 58
    Subjects: ...convolutional neural networks (CNN)...
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  19. 59
    by Yin Qiwei, Zhang Ruixun, Shao XiuLi
    Published 2019-01-01
    ...In this paper, we propose a CNN(Convolutional neural networks) and RNN(recurrent neural networks...
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  20. 60