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On top of that, CNNs in many cases are subjected to pretraining, which is, to the procedure that initializes the community with pretrained parameters in lieu of randomly set types. Pretraining can speed up the learning approach and also increase the generalization capacity on the community.peak) on the input volume for the next convolutional layer.