Consider the d=2 case. Let y(1)=1,y(2)=1 . Assume that the feature vector x(1) is presented to the perceptron algorithm before x(2) . For this particular assignment of labels, work out the perceptron algorithm until convergence. Let θ^ be the resulting θ value after convergence. Note that for d=2 , θ^ would be a two-dimensional vector. Let's denote the first and second components of θ^ by θ^1 and θ^2 respectively. Please enter the total number of updates made to θ by perceptron algorithm: