Task 2 (10 points). Note: In this question you should assume that the activation function of a perceptron is the step function. More specifically, this function: outputs 0 if the weighted sum of inputs is LESS THAN 0 (not less than or equal). outputs 1 if the weighted sum of inputs is greater than or equal to 0. Design a perceptron that takes three Boolean inputs (i.e., inputs that are equal to 0 for false, and I for true), and outputs: 1 if at least two of the three inputs are true, 0 otherwise. You should NOT worry about what your perceptron does when the input values are not 0 or 1. Task 3 (10 points). Note: In this question you should assume that the activation function of a perceptron is the same as for Task 2. Design a neural network that: takes two inputs, A and B. outputs 1 if 2A+3B=4. outputs 0 otherwise. Your solution should include a drawing of the network, that shows all edges connecting outputs of one layer to inputs in the next layer, and that also shows the values of all weights (including bias weights) of all perceptrons.