Consider a perceptron with initial weight vector w$=(1\mathrm{.}0,0\mathrm{.}5,0\mathrm{.}1)$T

$,$ learning rate $\backslash$alpha $=0\mathrm{.}5$

$,$ and activation function g

given by g$($x$)=1$

if $($i$=1$i$=3$wi$\backslash$times xi$)>0$

$,$ and g$($x$)=0$

otherwise. Given such a perceptron, and the training data in the table below, compute the values of the weight vector of the perceptron after one iteration of the perceptron learning algorithm through the four data items in the table below. Assume that data is iterated over from top to bottom.

X$1$ X$2$ x$3$ class

$2431$

$5970$

$2950$

$5431$

Please enter the values of the weight vector into the appropriate boxes.

w$($

Answer $1$ Question $2$

$1$

$,$ Answer $2$ Question $2$

$-2$

$,$ Answer $3$ Question $2$

$-1\mathrm{.}9$

$)$T