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

[MLP] network gets confused #1

Open
amaneureka opened this issue May 2, 2016 · 3 comments
Open

[MLP] network gets confused #1

amaneureka opened this issue May 2, 2016 · 3 comments
Labels

Comments

@amaneureka
Copy link
Owner

In a long run, sometimes the network gets confused and plays lame from next game.

@amaneureka amaneureka added the bug label May 2, 2016
@amaneureka
Copy link
Owner Author

Possible solution: Exponentially decrease learning rate proportional to confidence of network.

@yask123
Copy link

yask123 commented May 4, 2016

Why does it get confused ?

@amaneureka
Copy link
Owner Author

Solution itself explains it.
It's not good idea to move saturated weights with small momentum when they are already saturated.
Hence it should decrease it's learning rate as network get confident on its decision.

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

No branches or pull requests

2 participants