$($c$)$ The figure below shows a $66$ image $I(x,y),$ and a $33$ filter

kernel $h(x,y)$

$h(x,y)=\{\begin{array}{ccc}\text{:}[1,& 0,& 1]\\ 2,& 0,& 2\\ 1,& 0,& 1\end{array}$

For each of the outputs below determine the appropriate padding,

stride, and pooling operations that would results in that output

when convolving the input with the feature kernel above.

$($i$)$

$($ii$)$

$($iii$)$

$($iv$)$