I want to create a CNN layer with filters of varying dilations.
For example, in a conv2d layer there are filters with size 55 and also dilated filters with 33 with dilation=1?
Or if I just concatenate the output feature maps from two conv2d layers, the gradient backprop will just be fine?
Thank you for any clarification.