Train a perceptron model ot learn the folowing truth table of XOR.

Take the initial parameters as wo $=0\mathrm{.}03,$ wi$=0\mathrm{.}01,$ w$=2$

$-0\mathrm{.}04,$ n $=0\mathrm{.}3$ and bias as $-1.$ Use threshold activation function $($g$($h$)=1,$ fi h$>0$; g$($h$)=0,$ if h$<=0)$ and sequential update strategy. Consider input samples ni hte same order as given ni hte above table. Show iteration steps and show ni graph, how hte decision boundary changes?