keras-squeeze-excite-network
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Update se_densenet.py
Added ZeroPadding2D at the start before Conv2D and in subsample_initial_block to make densenet variants parameters same as original ones.
Same padding already does this, and adding a zero padding does not increase parameter count. Where was this stated in the paper?