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For questions related to padding (the input) in the context of neural networks.

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Transpose convolution in TiF-GAN: How does "same" padding works?

After fiddling with some coding I found out that the authors also used the setting padding=same in their tensor flow code. … Without any padding I would assume that you should get an output of 26x9x1534 assuming that each output dimension is equal to dim = kernel_dim + strides * (input_dim - 1) …
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