You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Dec 5, 2024. It is now read-only.
Does the published code not include the implementation of dictionary learning necessary for learning intermediate features? Why is the published code very limited and doesn't include everything in the paper?
The text was updated successfully, but these errors were encountered:
Yes, the channels, in this case, are known beforehand (the classes of the training set), but I expected that they would publish complete code except for the CAPTCHA part. Without intermediate feature learning, I can't try experiments on other more challenging dataset that require increasing the number of layers.
I am currently fixing up the code to run on Omniglot (I have cleaned it enough so that it works on Py3 without C++). I may try to get the intermediate feature learning to work (judging by the algorithm, it should not be that hard).
EDIT: On second thought, creating hierarchies beyond 2 layers is out of my scope.
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Does the published code not include the implementation of dictionary learning necessary for learning intermediate features? Why is the published code very limited and doesn't include everything in the paper?
The text was updated successfully, but these errors were encountered: