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A perceptron structure and the training data are given below. Assume the following weights and bias. w1 = 0.41, w2 = 0.23, w3 =

A perceptron structure and the training data are given below. Assume the following weights and bias. w1 =

A perceptron structure and the training data are given below. Assume the following weights and bias. w1 = 0.41, w2 = 0.23, w3 = 0.5 and b = 0.01. TITUTE OF T & SCIENC (a) Compute the output y of the perceptron for the first training example. (b) Compute the error. (c) Update the weights and bias. (d) Using the updated parameters, compute the output for the second training example. X1 X2 X3 b W1 W2 W3 [x1, x2, x3, y 0.8, 0.2, 0.4, A 0.3, 0.1, 0.9, B 0.2, 0.4, 0.6, A 0.1, 0.7, 0.3, B

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