Design a feed$-$forward network composed of bipolar neurons that will distinguish between

the data points in Class $1($O$\text{'}$s$)$ and Class $2($X$\text{'}$s$).$ HINT: it is easiest to use the activation

function:

$f(y_{in})=\{\begin{array}{ccc}+1,& if& y_{in}0\\ -1,& if& y_{-}in<mn\; id="EditorElement\_1531090">0</mn>\end{array}$