In the neural network below, $w_2=-1,w_h=2,$ and the remaining connection weights are all equal to $1.$ Assume

that each neuron directly "fires" with strength equal to the sum of the input signals it receives $($i$.$e$.$ no bias

terms, no activation functions$).$ When the top input neuron's input is $-1\mathrm{.}5$ and the bottom's is $3,$ we want the

network to output $0,$ but the network currently outputs something different. Assuming we can only change

the connection weights of $w_a$ and $w_b$ determine whether each one should be increased or decreased to push

the network's output closer to the correct value, and explain why. Hint: Calculate the output of the network

first, then work backwards. $(15$ points$)$

Input Laver

Hidden Laver

Output Laver