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Answer Posted / Prakash Kumar
Max Pooling is a downsampling technique used in convolutional neural networks to reduce the dimensionality of input data, while retaining important spatial information. In Max Pooling, the maximum value from a local region (e.g., 2x2 or 3x3) is selected and passed through the network, effectively replacing the entire region. This helps in reducing overfitting and speeding up computation.
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