Consider the following training set

No$.$ input values

desired output value $,$

$x^1=(1,0,1{)}^{TT}$

$-1$

$,x^2=(0,-1,-1{)}^{TT}$

$1$

$,x^3=(-1,-0\mathrm{.}5,-1{)}^{TT}$

$1$

Assume the learning rate is $0\mathrm{.}1$ and the initial weight vector is $w_0=(1,-1,0{)}^T.$

After training draw the neural network.