Consider a $2-$layer neural network where each layer has only one hidden unit, one input, and one bias.

The activation functions are identity functions, meaning, the input of the activation function is identical to its output $($i$.$e$.,z=h(a))$

Below is the illustration showing all the necessary values:

$x_1=2,w_{1,1}^{(1)}=0\mathrm{.}5,w_{1,1}^{(2)}=0\mathrm{.}75$

$x_0=1,w_{1,0}^{(1)}=1,w_{1,0}^{(2)}=1$

$z_0=1,$

Calculate the output

and write it in the box below.