Please help with this Machine Learning question in detail , thank you !

1. We wish to adjust the weights and threshold of the following perceptron: So that the function realized is xy; that is, the output is 1 if both x and y = 1, but not if either or both of them are 0. What are the constraints on a, b c, d, and t that will cause the perceptron to perform this function? Identify in the list below, values of these variables that make the perceptron realize function y a=0.2; b=0.7; c=0.5; d=0.2: t=1.25 b) a) a-02; b-04, c=0.4; d=0.1; t=0.65 c) a=0.2; b=0.5 ; c=0.4: d=0.1: t=0.85 a=0.2; b=0.7; c=0.5; d=0.2; t=1.05 O O d) 2. For the perceptron below: 0.1 0.3 t = 0.35 or 0.55 What inputs will make the output 1 if the threshold t is 0.35, but NOT if the threshold is 0.55? After writing a boolean expression in terms of w, x, y, and z for the set of possible inputs, identify one of those inputs in the lists below