Forward Propagation: Consider a neural network shown below.

It has an input $x=(x_1,x_2),$

a hidden layer $h=(h_1,h_2,h_3),$

and an output $a=(a)$

The layers $h$ and a has sigmoid activation function.

Input $x$ is

$x=([1],[-1])$

The weight matrix for $x-h$ is

$W^x=([\frac{1}{2},\frac{1}{2}],[0,1],[1,0])$

The weight matrix for $h-a$ is

$W^h=([-1],[\frac{1}{2}],[\frac{1}{2}])$

What are the output values in the hidden layer output vector $h?$ Give each answer to three decimal places.

What is the second element in the hidden layer output vector $($h$2)?$