Question ${?}^{\text{\#}4}($CLO$-1)$

$(2\mathrm{.}5+2\mathrm{.}5+5)$

Explain what will be the feature size in convolutional ncural networks under following conditions:

a$)$ A kerncl of size $33$ is applied on an image of size $55$ with a stride of $2.$

b$)$ An image of size $55$ with padding size of I and convoluted by a kernel of size $33$ with stride of $2.$

c$)$ On the below given convoluted features data, apply Maxpool layer operation with a kernel having size of $2$ and stride of $1.$

$\backslash$table$[[21,59,37,-19,2],[30,51,66,20,43],[-14,31,49,101,-19],[59,15,53,-2,21],[49,67,64,76,10]]$

Corvolved

Feature

$596666w$

$51661d10$

$59953101101$

$55,617676$

$(9)6066*4$

$5166l\frac{d}{l}d$

$(\frac{53}{59})101101$

Max Pocled

Fealure