2] d1 =0 X2 = 2 [2] X1 = d2 =1 And the initial weight vector w1 = with learning constant c = .5 ipi ip2 net f(net) ip3 AW; Learning Signal

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
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
Perform two training steps for the network as shown in figure given using the
perceptron learning rule. Assume the training data
[2]
X2 = |2
X1 = |1
di =0
d2 =1
And the initial weight vector w1 =
with learning constant c = .5
ipi
ip2
net
f(net)
ip3
AW
d,
Learning
Signal
Transcribed Image Text:Perform two training steps for the network as shown in figure given using the perceptron learning rule. Assume the training data [2] X2 = |2 X1 = |1 di =0 d2 =1 And the initial weight vector w1 = with learning constant c = .5 ipi ip2 net f(net) ip3 AW d, Learning Signal
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