2. In the following Multi-Layer Architecture there are 6 different neurons. The input signals of neurons...

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2. In the following Multi-Layer Architecture there are 6 different neurons. The input signals of neurons are initialized with il = -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 01, 02 using forward pass/ function signal. Use logistic function with a =1. W1 w5 h1 w2 w6 b1 w3 h2 w4 w8 b2 22 2. In the following Multi-Layer Architecture there are 6 different neurons. The input signals of neurons are initialized with il = -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 01, 02 using forward pass/ function signal. Use logistic function with a =1. W1 w5 h1 w2 w6 b1 w3 h2 w4 w8 b2 22