Are there any examples of DL4J's 3D image parsing?

I’d like to learn some examples of how to use the 3D layer, and I’m wondering which one is better for beginners?


It’s as simple as MNIST.
Is there such a model?

@TRSK-CONMI do you mean Conv3D? I want to be clear here because normal images have 3 channels.

Yes, When I was using this 3D layer, I found a parameter (it seems the name is “dpth”?), and none of the changes are correct, so I would like to ask if there are some examples for me to learn how to use the 3D layer of DL4J.

(I have a hypothesis, if there are 3D numbers, how should we get machines to recognize them?)