How can max pooling help in making convolutional features as "translational invariant" in a deep learning?

@albela_angur wrote:

Hi all,

I have read that a CNN model has translation invariance. On exploring more about it, I got to know that the pooling operation in a CNN model does this. Could someone explain what is the logic behind this?

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