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I am often told that Max Pooling of 2x2 doubles the size of the receptive field from the previous layer. If that is true, I would like to understand how that happens.

I have already checked this article and this one. However, I am not able to understand the effect of max pooling on the receptive field.

Appreciate any help on this.

Thanks!

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If I am not wrong, the receptive field of a layer increases by 2 after a max pool layer. The way I understand it is that while backpropogation, the flow of gradients go from an image of size m to m*2. I am not sure whether this is right or wrong.

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Before anything, let's try to understand what Max-pooling actually does. Intuitively, Max-Pooling takes the maximum of the value inside the kernel as the maximum value is something that causes a larger impact from the picture. When the size of the kernel is 2x2, half of the values denote the actual value so the receptive field increases. A visualization could be found in this video. Also you can look at this video too

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