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A perceptron structure and the corresponding training data is given below. x1,0.2,0.1,0.8,0.3,x2,0.4,0.7,0.2,0.1,x3,0.6,0.3,0.4,0.9,yABAB Construct the initial values of the parameters using your BITS Student ID as
A perceptron structure and the corresponding training data is given below. x1,0.2,0.1,0.8,0.3,x2,0.4,0.7,0.2,0.1,x3,0.6,0.3,0.4,0.9,yABAB Construct the initial values of the parameters using your BITS Student ID as below. Let the last four digits of your student id be cdef. Then the present values of the parameters will be b=0.c,w1=0.d,w2=0.e,w3=0.f; For Example, if the last four digits of your student id is 2341, then b=0.2w1=0.3,w2=0.4w3=0.1; Perform the following: (a) Compute Loss assuming the parameters derived from your student id. (b) Use the perceptron leaming rule to get a revised estimate of the parameters. Show all the steps. (c) Show evidence that the parameters obtained in (b) indeed improved the network's leaming. [2+2+2=6M]
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