Consider the following network structure. You can assume the initial weights. Assume bias

to be zero for easier computations. Given that $<$ x$1,$ x$2,$y$1,$y$2>=<1,1,0,1>$ where $$y is

the target. Assume $\backslash$beta $=0\mathrm{.}9$ and $\backslash$eta $=0\mathrm{.}01.$

x$1$ x$2$ input layer

h$1$ h$2$ hiden layer

$$y$1$y$2$ output layer

w$11$ w$12$ w$21$ w$22$ weights of input$-$hidden layers

v$11$ v$21$ v$12$ v$22$ weights of hidden$-$ output layers

$($a$)$ Compute the forward propagation and generate the output. Use Relu for hidden layers

and Sigmoid activation function for output layer.