Isider the given image $($matrix$)$ as input and the filter.a$.$ What is the result of the feature map of convolution layer, ignoring the bias value, with filter $3$x$3,$ stride $1,$ and padding $0?$b$.$ If we apply a Max$-$Pooling layer after convolution $($i$.$e$.,$ you got from $($a$))$ with filter is $3$x $3.$ What would be the output?C$.$Assume that the input is an RB image and we use $10$ filters with stride $1,$ pad $2,$ what is the number of parameters in this convolution layer? Input matrix from left to right: $11100$

$01110$

$00111$

$00110$

$01100$

filter :

$101$

$010$

$101$