On the other hand, padding is highly significant to determining border size information related to the input image.
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.
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The activation function must also have the ability to differentiate, which is an extremely significant feature, as it allows error back-propagation to be used to train the network.