Question: Consider the following extended network with a hidden layer. The inputs x 1 and x 2 are binary ( 0 / 1 ) as well

Consider the following extended network with a hidden layer. The inputs x1 and x2 are binary (0/1)
as well as hidden layer values y1 and y2. The sigmoid function is applied at each level to convert
linear model to non-linear.
A.(2 pts) If x1=1 and x2=0, what values of thetas will give the output y1=1 and y2=1?
\theta 0=\theta 1=\theta 2=
\theta 3=\theta 4=\theta 5=
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