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A convolution layer has a Kernel that is matrix smaller that the image (in many papers 3*3), so this Kernel have learnable values. The kernel is applied pixel by pixel (and dimensions, for color images), by applied I mean take the kernel centered in the pixel and multiply element-wise with the image and sum all results. This is the output for that pixel, a ...

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