Explaination for Padding= 'same' for convtranspose in the UNET architecture

There are some later threads with better information on this.

Here’s one that shows the sizes of the output of transpose convolutions with various input parameters.

Here’s one from mentor Raymond that explains the dimensions for transpose convolutions and also the potential ambiguity with output sizes.