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Linear Unit (ReLU) transformation to the feature map, introducing nonlinearity to the model. The Pooling Layer Pooling layers, also referred to as downsampling, serve to reduce the dimensionality of the input, thereby decreasing the number of parameters. Similar to convolutional layers, pooling