Pooling

Pooling doesn’t have weights, it just has parameters (filter size $f$, stride $s$, and type (max or average)).

• Max Pooling → Take the max within each filter

Take your input and break it down into smaller regions. Max Pooling is just taking the maximum number for each region.

Intution: As long as the features are detected anywhere in one of these quadrants, it remains preserved in the output of max pooling.

• Average Pooling → Take the average within each filter