Hi, I am trying to create a CNN that share weights between 2 consecutive layers. This is particularly interesting if we are looking into separable filters. For example: If we want to approximate a 2d gaussian filter using a CNN, we could potentially just have to learn a 1 layer 1d convolutional network (with k elements) and apply it first in the x direction and then in the y direction, instead of a 1 layer 2d convolutional network (with k^2 elements).
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