Part $3.$ Using hidden layer representations

Now compute exclusive $"$or$"$ using a different network with two layers: input to

hidden nodes, and hidden nodes to the output node. There are no bias nodes in this

system. Also, for both the hidden and output nodes are thresholded at $1\mathrm{.}0,$ so $1$ if

netInput $01,$ else $0.$

Task: calculate the hidden and output node values in the chart below.

Question: how has the input been restructured, and is the function now linearly

separable? Explain in detail.