Present experimental results on parameter invariance

[kdexd]

MaxMin conv layer doubles the parameters per layer. Check the performance if they remain same as classical CNN. This means when a classical conv layer is replaced with a maxmin conv layer, reduce the filters to half for next layer, to keep amount of parameters approximately same.

Train on similar model architectures as the first notebook.