deep-learningpytorchconv-neural-networkzero-padding
Same padding when kernel size is even
When the kernel size is odd, we can manually calculate the necessary padding to get the output in the same dimension as input such that it creates same padding.
But how can we calculate padding dimensions for kernels with even sizes (ex: (2x2)?
Solution
I used padding as 1 and dilation as 2 which resulted same padding.
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