Refer to the following multilayer perceptron network with two hidden layers. All nodes use a step activation function, i$.$e$.,$ output $=1$ if total input $$ bias, else output $=0.$ Bias at each node is indicated

inside the node.

A$.$ What will be the output $y,$ if $(x1,x2)=(2,3),(x1,x2)=(6,3),$ and $(x1,x2)=(4,3)$

B$.$ Express output $y$ as a decision rule of input $(x1,x2).$ Recall, decision rule is expressed as an if$-$then$-$else statement, e$.$g$.,)$ OR $($x$2<mtext\; id="EditorElement\_3268360"></mtext><mn\; id="EditorElement\_3268361">7</mn><mi\; id="EditorElement\_3268362">)</mi>$ AND $x_1+x2=7)$

C$.$ Can this decision rule be realized using a multilayer perceptron with one hidden layer? If yes, how many hidden node will be needed in that one hidden layer?