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Consider the following training set: input values (x) desired output values (y) x1 = (1, -1) -1 x2 = (0, 1) 1 x3 = (0.5,
Consider the following training set:
input values (x) desired output values (y)
x1 = (1, -1) -1
x2 = (0, 1) 1
x3 = (0.5, -1) -1
initial weight: w0 = (1, 0)
learning constant: C = 0.1
1) Show analytical steps of the perceptron learning rule for the training set given above.
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