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view.pdf - Adobe Acrobat Reader (64-bit) w Help 1 - Deep Neural N... T1-Dive into Deep ... 13 / 18 L2-Deep Neural N... k L8

view.pdf - Adobe Acrobat Reader (64-bit) w Help 1 - Deep Neural N... T1-Dive into Deep ... 13 / 18 L2-Deep Neural N... k L8 - Deep Neural Question A perceptron structure and the training data are given below. 46 d 75% Assume the following weights and bias. w1 = 0.41, w2 = 0.23, w3 = 0.5 and b = 0.01. (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. PVC INSULATED FLEXTURE WIRES & CAST BenQ 16 C 0 C

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