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

Question about initial weights of "extracting feature step" and "classification step" #17

Open
jjysh014 opened this issue May 28, 2021 · 0 comments

Comments

@jjysh014
Copy link

Thank you for sharing the code.

As I understand, the models for "extracting feature step" and "classification step" are resnet-38, which has same architecture except additional fully connected layer at the last part.

However, the initial weight for "extracting feature step" and "classification step" are different. One is from Resnet38(AffinityNet), another is from Resnet38(MXNET).

Is there special reason for different initial weights?

Or how about using same initial weights?

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