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0. Consider the neural network below. Find the appropriate weights for w0, w1 and w2 to represent the AND function. Threshold function = {1, if output >0; 0 otherwise}. x0 and x1 are the inputs and b1 = 1 is the bias.
W0-1, w1-1, w2-1
W0 = 1, w1 = 1, w2 = -1
W0 = -1, w1 = -1, w2 = -1
W0 = 2, w1 = -2, w2 = -1
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