$(1-1).$ Train to simulate the following input data and target output relations using Perceptron Learning Algorithm. There are two input units and one output unit. Input patterns are $,1),(1,0),$ and $(1,1).$ The output will be either $1$ or $0.$

$\begin{array}{cc}\text{I}\text{n}\text{p}\text{u}\text{t}& \text{t}\text{a}\text{r}\text{g}\text{e}\text{t}\\ 00& 0\\ 01& 1\\ 10& 1\\ 11& 1\end{array}$

The given parameters are as follows. The initial weight for W$1$ is $0\mathrm{.}7$ and the initial weight for W$2$ is $0\mathrm{.}6.$ The learning coefficient is $0\mathrm{.}4.$ The Threshold value is $2\mathrm{.}4.$ Write down how the given initial weights are changed along with actual outputs until you finish your computation in the table. For Epoch $1,$ the computational process should be shown. Starting with Epoch $2,$ you just need to complete the table.

$\backslash$table$[[$Input$,$target,Epoch $1,$Epoch $...,],[,,\backslash$table$[[$original$],[$weight$]],\backslash$table$[[$actual$],[$output$]],\backslash$table$[[$updated$],[$weight$]],\backslash$table$[[$original$],[$weight$]],\backslash$table$[[$actual$],[$output$]],\backslash$table$[[$updated$],[$weight$]]],[00,0,0\mathrm{.}7,0\mathrm{.}6,,,,,],[01,1,,,,,,],[10,1,,,,,,],[11,1,,,,,,]]$