Pooling is a technique used in convolutional neural networks to reduce the spatial dimensions of the input volume. Pooling helps in reducing the computational complexity of the network by reducing the number of parameters and computations in the network. Common types of pooling include max pooling and average pooling. Max pooling selects the maximum value from a group of values in the input, while average pooling calculates the average value. Pooling helps in making the network more robust to variations in the input data.

KGK Group Interview Questions: What is pooling

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What is pooling

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Pooling is a technique used in convolutional neural networks to reduce the spatial dimensions of the input volume.

Pooling helps in reducing the computational complexity of the network by reducing the ...read more

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