Given three data points and their labels: Negative: (-1, 0) (2,-2) Positive: (1, 0). Assume we have no bias term and we initialize the weight vector with all zero. We run the perceptron learning algorithm by attempting to make predictions on (-1,0) and (2,-2). Q5.1 Perceptron 1 2 Points What is the weight vector learned by the perceptron learning algorithm after visiting (-1,0)? O (1,0) O (2,1) O (-2,1) O (-1,2) Q5.2 Perceptron 2 2 Points What is the weight vector learned by the perceptron learning algorithm after visiting (-1,0) and (2,-2)? O (1,0) O (2,1) O (-2,1) O (-1,2)