consider the following neural network with $3$ inputs x$1,$ x$2,$ x$31$ hidden layer with $3$ neurons and a single neuron in the output layer weight parameters in the network are denoted as w$1,$ w$2,...,$ wn$.$ Write down the partial derivatives $($using chain rule$)$ for nodes in highlighted subgraph $.$ Where Etotal is the sum squared error. Etotal $=$ summination $(1/2)($target $-$ output$)^2.$ The highlighted part is the same network structure as before but its nodes x$3,$ z$3/$a$3,$ and z$/$a