Root-of-Mean-Squared Pooling

RMS Pooling is a pooling operation that calculates the square mean root for patches of a feature map, and uses it to create a downsampled (pooled) feature map. It is usually used after a convolutional layer.

$$ z_{j} = \sqrt{\frac{1}{M}\sum^{M}_{i=1}u{ij}^{2}} $$

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