Given the initial weight vector: $w^0=(0\mathrm{.}1,0\mathrm{.}1),$ learning constant: $=0\mathrm{.}5,$ activation function: $f(u)=u+1,$ find the weight vector of the first epoch of gradient descent error minimization and delta learning rules for the training set given below. The weight update rule for gradient descent error minimization is given as follows:

$w_{kl}=\frac{\text{d}\text{e}\text{l}\text{E}(w_{ij})}{del{w}_{kl}}=($