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

ResNeXt-C block #11

Open
0x00b1 opened this issue Apr 26, 2017 · 4 comments
Open

ResNeXt-C block #11

0x00b1 opened this issue Apr 26, 2017 · 4 comments

Comments

@0x00b1
Copy link
Contributor

0x00b1 commented Apr 26, 2017

Implement the block diagramed in figure 3a. from “Aggregated Residual Transformations for Deep Neural Networks.”

@mjdietzx
Copy link

mjdietzx commented May 3, 2017

Implemented here: https://gist.github.com/mjdietzx/0cb95922aac14d446a6530f87b3a04ce#file-residual_network-py-L59

@0x00b1
Copy link
Contributor Author

0x00b1 commented May 11, 2017

Thanks, @mjdietzx. Huge help!

@salihkaragoz
Copy link

@0x00b1 Do you have ResNext Imagenet weights file? Or any plan to implement ResNext ? Thanks in advance ...

@hgaiser
Copy link
Contributor

hgaiser commented May 11, 2018

Are there any plans for this? Would be nice to implement it in keras-retinanent :)

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

No branches or pull requests

4 participants