For this problem, change the definition of an M$-$P neuron so that both its inputs and outputs are

binary $(0$ or $1).$ View uv and wx each as two$-$bit binary $(00,01,10,$ or $11)$ numbers, and yz as the

$2$ low$-$order bits of the numerical addition of uv and wx $($see the figure below$).$

$($a$)$ Give weights and biases for an M$-$P network which generates z$.$

$($b$)$ Give weights and biases for an M$-$P network which generates y