Regarding DKL input #88
Unanswered
utkarshp1161
asked this question in
General
Replies: 3 comments 3 replies
-
Custom convnets didn't work well with gpytorch implementation of GPs at the time, which was one of the reason I created GPax :) |
Beta Was this translation helpful? Give feedback.
1 reply
-
I will be happy to review it, but I wonder what is the benefit of doing this through AtomAI when this functionality already exists in GPax? |
Beta Was this translation helpful? Give feedback.
1 reply
-
Hmm.. interesting. A few things to consider:
|
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Hi Maxim,
With respect to below notebook:
https://github.com/pycroscopy/atomai/blob/master/examples/notebooks/atomai_dkl_plasmons.ipynb
Is there a particular reason you flatten out the patches?
Since the patches have the neighbourhood information will it be better to not flatten it and use a convnet as the feature-extractor?
Beta Was this translation helpful? Give feedback.
All reactions