admin管理员组

文章数量:1344332

I was reading pytorch docs about Conv2DTranspose on .nn.ConvTranspose2d.html#torch.nn.ConvTranspose2d, and I was curious as to what happens if we increase the stride to be larger than 1. I know how transposed convolution works for stride = 1. Are zeros in the output inserted in every 2nd element when we set stride = 2, or something else happens. Also whats the advantage of upsampling the image this way, rather than using upSampling?

Thanks for help in advance.

I was reading pytorch docs about Conv2DTranspose on https://pytorch./docs/stable/generated/torch.nn.ConvTranspose2d.html#torch.nn.ConvTranspose2d, and I was curious as to what happens if we increase the stride to be larger than 1. I know how transposed convolution works for stride = 1. Are zeros in the output inserted in every 2nd element when we set stride = 2, or something else happens. Also whats the advantage of upsampling the image this way, rather than using upSampling?

Thanks for help in advance.

  • pytorch
  • conv-neural-network
Share Improve this question asked yesterday zionzion 112 bronze badges
Add a comment  | 

1 Answer 1

Reset to default 0

Here you can see the differences between upsampling and ConvTranspose2D: Pytorch Forumns discussion.

本文标签： pytorchTransposed convolution 2D with stride gt 1Stack Overflow

版权声明：本文标题：pytorch - Transposed convolution 2D with stride > 1 - Stack Overflow 内容由网友自发贡献，该文观点仅代表作者本人， 转载请联系作者并注明出处：http://www.betaflare.com/web/1743780340a2537713.html， 本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容，一经查实，本站将立刻删除。