Given a multiple layer network as shown below W+2=0 W=-1 X 1 y2 W=0 y4 W=1 1) If the input x=2; what are the outputs of neuron 2, 3, and 4, i.e yz y and y? (We use sigmoid function sigm(x)=1/(1+e*) as the activation function of neurons.) W24 2) If the desired output for input x=2 is y4-1, update w4 and w34 according to the updating rule of neural network. (The learning rate a=0.1)? Please list the details of your calculation.