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CNN(Convolution Neural Networks)基本概念

2021-02-04
David


基本概念

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下面这篇文章详细介绍了CNN中的几个基本概念:

A guide to convolution arithmetic for deep learning (BibTeX)

影响CNN output size的几个因素

  • ij: input size along axis j,
  • kj: kernel size along axis j,
  • sj: stride (distance between two consecutive positions of the kernel) along axis j,
  • pj: zero padding (number of zeros concatenated at the beginning and at the end of an axis) along axis j.

CNN example-no padding no stride ij = 5 kj = 3 sj = 2 pj = 1


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