Why does padding hold an important role when building a convolutional neural network Examples on how to perform padding on cnn
Padding In order to build deep neural networks, one modification to the basic convolutional operation that we have to use is padding. Let's see how it works. What we saw in earlier posts is that if we take a $latex 6 \times 6 $ image and convolve it with
Convolutional Neural Networks (CNNs): An Illustrated Explanation - XRDSXRDS
Full padding and same padding [10]
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