Consider a Perceptron that has two input units and one output unit, which uses an LTU activation function, plus a bias input of +1 and a bias weight w3 = 1. If both inputs associated with an example are 0 and both weights, w1 and w2, connecting the input units to the output unit have value 1, and the desired (teacher) output value is 0, how will the weights change after applying the Perceptron Learning rule with learning rate parameter α = 1? Select one: a. w1, w2 and w3 will all decrease b. w1 and w2 will not change and w3 decreases c. w1 and w2 will increase, and w3 will decrease d. w1 and w2 will increase, and w3 will not change

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Consider a Perceptron that has two input units and one output unit, which uses an LTU activation function, plus a bias input of +1 and a bias weight w3 = 1. If both inputs associated with an example are 0 and both weights, w1 and w2, connecting the input units to the output unit have value 1, and the desired (teacher) output value is 0, how will the weights change after applying the Perceptron Learning rule with learning rate parameter α = 1? Select one: a. w1, w2 and w3 will all decrease b. w1 and w2 will not change and w3 decreases c. w1 and w2 will increase, and w3 will decrease d. w1 and w2 will increase, and w3 will not change
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