Multilayer Perceptron Draw a 2-3-4-1 multilayer perceptron network that shows its weights with bias term on it

Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Multilayer Perceptron
Draw a 2-3-4-1 multilayer perceptron
network that shows its weights with bias
term on it
1- Initially select all network parameters
including bias terms as 1, find the output of
this network for the input pattern p = [21
]T.
%3D
2- Obtain the parameter change formulas
for each weight with bias terms included.
Calculate the updated values of these
parameters if the desired output the input
applied in (c) is 0.8 (Assume that learning
rate equals 0.1)
Note: No programming language solution is
requested. Fuzzy lesson topics should be
solved on paper or by explaining.
Transcribed Image Text:Multilayer Perceptron Draw a 2-3-4-1 multilayer perceptron network that shows its weights with bias term on it 1- Initially select all network parameters including bias terms as 1, find the output of this network for the input pattern p = [21 ]T. %3D 2- Obtain the parameter change formulas for each weight with bias terms included. Calculate the updated values of these parameters if the desired output the input applied in (c) is 0.8 (Assume that learning rate equals 0.1) Note: No programming language solution is requested. Fuzzy lesson topics should be solved on paper or by explaining.
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