1. In the following Multi-Layer Architecture there are 6 different neurons. The input signals of neurons are initialized with i1 = 2, i2 = -1 and synaptic weights of the neurons are also initialized w1 = 1, w2 = -5, w3 = -3, w4 = 5, w5 = -4, w6 = -3, w7=-2, w8 = -3 respectively with bias values b1 = b2 = -1. Compute the output of two hidden neurons h1, h2 and two output neurons o1, o2 using forward pass / function signal. Use logistic function with a =1.

w1 w5 i1 h1 01 w2 w6 w3 w7 i2 h2 02 w4 W8 b1 b2 1 1