Can you explain the concept of a CNN and its practical applications?

Question

Anonymous · Accepted Answer

CNN or graph convolutional neural networks is a type of NN that is usually used
in vision tasks. Each layer of CNN contains a multilayer filter, where each
filter is a k by h matrix, the filter then applied on a M by N matrix as a
sliding window, the operation can be a dot product or a pooling layer,

Can you explain the concept of a CNN and its practical applications?

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