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Consider the classification problem defined below:
{(p1 = [-1 1], t1 = 1), (p2 = [-1 -1], t2 = 1), (p3 = [0 0], t3 = 0), (p4 = [1 0], t4 = 0)}
Solve the classification problem by applying the perceptron learning rule with the following
initial parameters:
W = [0 0], b = 0
Draw a diagram of the resulting perceptron with the final weights and bias values.

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Consider the classification problem defined below:
{(p1 = [-1 1], t1 = 1), (p2 = [-1 -1], t2 =...
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