Why use pooling?

[Aryo Pradipta Gema]

Probably you might want to enlighten me on the reason why you use pooling in this architecture, cause as far as i know pooling might result into a network that is insensitive to the location of an object in the image. Thanks in advance

[Menshykov]

You can think of it as combining results of several convolutions which are far apart together effectively making a larger double-convolution - double in the sense of going one after the other due to having two RELUs. I think at least this would make sense. But the answer to why this works so good may be more complicated. And this also may not be a good decision in some situations - you should try - maybe, having larger kernels and less pooling works better in this game.

[Yen-Chen Lin]

I'm sure this will also work without pooling.

Using Pooling is only because at that time I want to have my network architecture as similar to the one used by image classification as possible.