$()$ Show that maximizing the likelihood for a multi$-$class neural network model

in which the network outputs have the interpretation yk$($x$,$w$)=$ p$($tk $=1|$x$)$ is

equivalent to minimizing the cross$-$entropy error function $(6\mathrm{.}36).$