Thank you so much for your excellent work, I am very interested in your work. But I am a PYTORCH user, and it is a little difficult to read some content of TENSORFLOW. For DEEPCAPS28, I noticed that the feature size in CONV3D is 22, but KERNEL is 33, I would like to know the details of your PADDING. If possible, I hope you can tell me in natural language.
l_skip = ConvCapsuleLayer3D(kernel_size=3, num_capsule=32, num_atoms=8, strides=1, padding='same', routings=3)(l)
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commented
2 years ago
Thank you so much for your excellent work, I am very interested in your work. But I am a PYTORCH user, and it is a little difficult to read some content of TENSORFLOW. For DEEPCAPS28, I noticed that the feature size in CONV3D is 22, but KERNEL is 33, I would like to know the details of your PADDING. If possible, I hope you can tell me in natural language.
l_skip = ConvCapsuleLayer3D(kernel_size=3, num_capsule=32, num_atoms=8, strides=1, padding='same', routings=3)(l)