<p>My bad, didn't look into the block diagram first</p>

<p><a href="https://i.sstatic.net/ah7Zu.jpg" rel="nofollow noreferrer"><img src="https://i.sstatic.net/ah7Zu.jpg" alt="enter image description here"></a></p>

<p>maxpooling filter/kernel is <code>3x3</code> = <code>fxf</code></p>

<p>Formula for padding to get the same dimension as the input </p>

<p><code>p = (f - 1)/2</code></p>

<p>here <code>f=3</code> ,so padding to be performed before maxpooling is <code>(3-1)/2 = 1</code></p>

CC BY-SA 4.0
2018-10-14T04:44:03.950Z
2018-10-14T04:44:03.950Z
Santhosh Dhaipule Chandrakanth
<p>Maxpooling is performed as one of the steps in inception which yields same output dimension as that of the input.
Can anyone explain how this max pooling is performed? </p>

<neural-networks><convolutional-neural-networks>
Maxpooling in inception?
Santhosh Dhaipule Chandrakanth
# Maxpooling in inception?

(Asked by: username_0 on 2018-10-13)

Maxpooling is performed as one of the steps in inception which yields same output dimension as that of the input.
Can anyone explain how this max pooling is performed?

**Tags:** neural-networks, convolutional-neural-networks


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## 1 answers

### Answer by username_0 on 2018-10-14. Score: 1

My bad, didn't look into the block diagram first

[![enter image description here](https://i.sstatic.net/ah7Zu.jpg)](https://i.sstatic.net/ah7Zu.jpg)

maxpooling filter/kernel is `3x3` = `fxf`

Formula for padding to get the same dimension as the input

`p = (f - 1)/2`

here `f=3` ,so padding to be performed before maxpooling is `(3-1)/2 = 1`


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