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

Are HingeL1, HingeL2, SigmoidCrossEntropy and Infogain loss layers implemented? #48

Open
sunformoon opened this issue Dec 7, 2016 · 2 comments

Comments

@sunformoon
Copy link

Hi, I just downloaded the master branch of marvin.
I checked the code and found that there are no implementations for the loss layers mentioned above. Did I miss something?

Thank you!

@rspezialetti
Copy link

Hi, i have the same problem. Are they implemented?

@sunformoon
Copy link
Author

sunformoon commented Jul 5, 2018

@rspezialetti Last year, I switched to pytorch for the 3d conv purpose. And tensorflow should also support the 3d conv very well.

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

2 participants