Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

1x1的卷积 #115

Closed
adeagle opened this issue Aug 29, 2017 · 1 comment
Closed

1x1的卷积 #115

adeagle opened this issue Aug 29, 2017 · 1 comment

Comments

@adeagle
Copy link

adeagle commented Aug 29, 2017

caffe输出 -0.2893225848675 -0.0349104851484 0.1214320510626 0.1832658946514 0.1703276336193 0.1703276336193 0.1703276336193 0.1703276336193
ncnn输出:-0.2901531159878 -0.0357410162687 0.1206015199423 0.1824353635311 0.1694969832897 0.1694969832897 0.1694969832897 0.1694969832897

这些什么原因呢?
输入及权重都是一样的

@adeagle
Copy link
Author

adeagle commented Aug 29, 2017

主要是我提取网络输出数据的方法不对,然后就去对比NCNN与CAFFE在各层的误差,虽然NCNN与CAFFE在某些层都存一点误差,但不影响最终的输出

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant