1. Consider a perceptron with the following weight vector at iteration t: Wt = (1.0, -0.5,3.0) Assume no bias term. a. How does this perceptron classify the point (3, -4, -2)? b. If the true label of a point (1, 2, -1) is +1, and Wt inaccurately classifies it as -1, what will be Wt+1, assuming the learning rate to be 0.1