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2019-05-28-VGG(Very Deep Convolu

2019-05-28-VGG(Very Deep Convolu

作者: siyecao99999 | 来源:发表于2019-05-28 14:46 被阅读0次
  1. 研究背景
    • investigate the effect of the convolutional network depth on its
      accuracy
  2. 创新点
    • a thorough evaluation of networks of increasing depth using an architecture with very small (3×3) convolution filters
  3. 算法框架


    VGG
  4. 实现细节
    • 3个3×3卷积核相比1个7×7卷积核的优势
      • make the decision function morediscriminative by incorporating three non-linear rectification layers
      • decrease the number of parameters
    • 网络D比C更具优势的原因
      • while the additional non-linearity does help (C is better than B), it is also important to capture spatial context by using conv. filters with non-trivial receptive fields (D is better than C)

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