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.

Sign up for GitHub

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

Jump to bottom

Questions #1

Open

BasitAlawode opened this issue Sep 19, 2019 · 0 comments

BasitAlawode commented Sep 19, 2019

Hi,

I must say this is a good implementation, simple and easy to follow. Nice work.

I have some questions though.

In the denoising example, why did you use sigma*1.15 as the error goal?
What do you think is the best ratio of the blocksize^2 to the number of words. e.g 64 ratio 256?
How do one know, in advance, the maximum number of blocks to train?
Can the algorithm work for pixel values in the range -1 to 1?

Thank you very much.

Regards.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment