Consider the following training set:

Input values $(x)$

$x^1=(0,1)$

$x^2=(1,0)$

Target output values

$1$

$0$

Given the learning constant: $=0\mathrm{.}1$ and initial weight vector $w^0=(0\mathrm{.}1,0\mathrm{.}1)$ :

Use the perceptron learning method to find the weight vector of the training set given above which terminates the learning process?