Archives for padding
it is convenient to not change the size of output or keep the dimensions of input and output the same. This can be achieved by the transposed convolution in a better way
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the convolutional layers reduce the size of the output. So in cases where we want to increase the size of the output and save the information presented in the corners
The post Guide to Different Padding Methods for CNN Models appeared first on Analytics India Magazine.