explain the tabltable calculation,Let ${}_0,{}_1$ and ${}_2$ are iniatlized as zeros. Let us learning the weights by Perceptron Learning Algorithm $.$

The updates in weights are calculated as follows: ${}_1=**t**x_1,$

${}_2=**t**x_2$ and ${}_0=**t$

let the learning rate, $=1$

EPOCH $1$

$\backslash$table$[[$Input$,$Target $t,\backslash$table$[[$Net$],[$Input $y_{in}$