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Answer Posted / Pardeep Kumar
Max pooling is a downsampling technique commonly used in convolutional neural networks (CNNs). It involves selecting the maximum value within a sliding window and replacing the entire original window with this maximum value. This operation helps in reducing the spatial size of the representation, thus reducing the number of parameters in the network, and making it computationally more efficient.
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