How tensorflow handle 'SAME' padding in transpose convolutiona (Deconvolutional) layer

by Desmanda   Last Updated October 04, 2018 12:19 PM

I would like to know how 'SAME' padding is calculated when using a transpose convolutional layer in Tensorflow. I find the way it is calculated in a convolutional layer with this formula in this link, but I wonder how it is done in the deconvolutional layer. Thanks!



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