-
Notifications
You must be signed in to change notification settings - Fork 18.7k
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
Is 3-dimensional autoencoder for voxel data possible in caffe? #3764
Comments
Please ask for usage/modeling help on the mailing list. From https://github.com/BVLC/caffe/blob/master/CONTRIBUTING.md:
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hi everyone.
I am a newbie in caffe and deep learning. Now I am going to train an convolutional autoencoder for medical voxel data (250 * 250 * 250). But I am not certain about few things. I would appreciate any helpful answers and advises.
Besides, I have seen someone said that channel could be used as third dimension. Is that correct for such 250^3 voxel data?
Thank you!
The text was updated successfully, but these errors were encountered: