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

why you use layer_norm ? #10

Closed
taki0112 opened this issue Apr 20, 2018 · 2 comments
Closed

why you use layer_norm ? #10

taki0112 opened this issue Apr 20, 2018 · 2 comments

Comments

@taki0112
Copy link

Hi
code
In Decoder, you used the layer_norm

have you tried another normalization ? like instance, batch, group

@xunhuang1995
Copy link
Contributor

Instance norm does not work well, since it removes the global feature mean and variance that capture the style information.

Batch norm is the same since we use batch size = 1.

The paper had been submitted before group normalization came out. So we haven't try it.

@taki0112
Copy link
Author

I have some question...

If you look at configs, there is no information about animal translation.
When will you upload it?
Is it ok to just run as hyper-parameter like edge2shoes?

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