Consider a Perceptron whose output is given by h$($wo$+$W$1$X$1+$W$2$x$2),$ where x$1,$ x$2$ are inputs and h$()$ is the Heaviside $($step$)$ function. Assume this Perceptron is being trained on the data in the following table, and that the current values of the weights are wo$=-0\mathrm{.}5,$ W$1=-1$ and w$2=-2.$ Training Example X$1$ X$2$ Class $($a$)-1-1$ Neg $($b$)21$ Neg $($C$)|-22$ Pos Flag question If the Perceptron Learning Rule is applied to the current weights, using training item $($a$)$ and a learning rate of n$=1\mathrm{.}0,$ the n