Question: What role does padding play in a Convolutional Neural Network? It speeds up the training by ignoring certain parts of the input It allows the

What role does padding play in a Convolutional Neural Network?
It speeds up the training by ignoring certain parts of the input
It allows the network to retain the spatial dimensions of the input through the layers
It selectively enhances features from the input image for better processing
It reduces the dimensionality of the output feature maps
What role does padding play in a Convolutional

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