Question 2. Calculate the output of the network given the following neural network: Weights between input and hidden layer are as follows: w11 = 1.2...

Question 2. Calculate the output of the network given the following neural network:

Weights between input and hidden layer are as follows:

                 w11 = 1.2             w12 = 1.5             w21 = 1.5             w22 = 2.0             w31 = 2.0             w32 = 1.0

Weights between input and hidden layer are as follows:

                 w11 = 1.5             w21 = 2.1

Inputs are:                             

                 x1 = 0.7                  x2 = 0.9                  x3 = 0.1

Assume that the transfer function of the input and hidden layers as linear and bias of 1 and that of output neuron as sigmoid function, of the form:

y =  , where x = input, y is output, and i = bias

Begin by mapping the aforementioned information, as done for you below:

Step 1: Calculate the weighted sum coming into h1, as done below:

h1 = (x1 * 1.2) + (x2 * 1.5) + (x3 * 2.0)

h1 = (0.7 * 1.2) + (0.9 * 1.5) + (0 .1 * 2.0)

h1 = 0.84 + 1.35 + 0.2

h1 = 2.39

Step 2: Apply the sigma function to h1, as done below:

y =  =   =  =  = 0.92

Step 3: Calculate the weighted sum coming into h2                             è Show calculations

Step 4: Apply the sigma function to h2                                                          è Show calculations

Step 5: Calculate the weighted sum going into y                                     è Show calculations

Step 6: Apply the sigmoid output from the network for y                  è Show calculations