Question: Suppose the augmented feature vector is defined as y = [ 1 , x 1 , x 2 ] T . Update the perceptron till

Suppose the augmented feature vector is defined as y=[1,x1,x2]T. Update the perceptron till the 3rd iteration with an initialization a(1)=[0,0,0]T and a step size (k)=0.5 for samples x1=[4,1]T,x2=[3,2]T(Class 1) and x3=[6,8]T,x4=[9,9]T(Class 2).
Suppose the augmented feature vector is defined

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