CNN Pooling Layers

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What are the two main benefits of using pooling layers (e.g., max pooling) in a convolutional neural network?

Multiple Choice

They increase the number of feature maps and add non-linearity to the network They reduce spatial dimensions to lower computation and provide translational invariance They learn to sharpen edges and normalize pixel intensities They prevent overfitting by randomly dropping spatial regions during training

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CNN Pooling Layers

Multiple Choice

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