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

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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 = 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. ज्ञानं परमं बलम् (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 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. ज्ञानं परमं बलम् (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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To solve this problem we will go by each of the parts a to d a Compute the output of the perceptron for the first training example Given the weights a... View the full answer