F-transform; convolutional kernels;convolutional neural networks;interpretability.

We are focused on the theoretical background of convolutional neural networks. In particular, we examine the problem whether semantic meaning can be assigned to convolutional kernels in the first layers and how this fact can simplify the learning procedure.In this respect, we prove the suitability and efficiency of the F-transform kernels. We describe various experiments that support our claim.