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

as well as hidden layer values y$1$ and y$2.$ The sigmoid function is applied at each level to convert

linear model to non$-$linear.

A$.(2$ pts$)$ If x$1=1$ and x$2=0,$ what values of theta$$s will give the output y$1=1$ and y$2=1?$

$\backslash$theta $0=\backslash$theta $1=\backslash$theta $2=$

$\backslash$theta $3=\backslash$theta $4=\backslash$theta $5=$

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