Using the same setup as the previous question, what are the gradients to update the fully

connected layer's weights $($both $W$ and $b)$ if we're using a cross$-$entropy objective function if

we have three $(3)$ total classes as the observations' targets are $Y=\left[\begin{array}{c}0\\ 1\end{array}\right]?$ Make sure to show

the intermediate gradients being passed backwards to make these computations. $(5$pts$)$