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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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Please solve this question in machine learning quickly
![Given a 3-2-3 MLP neural network with below
(2)
initializations, find y which is the output of
the first neuron in the output layer. Answers are
rounded to the third decimal.
The output of the hidden layer is given in the table
below.
Hidden Neurons Weights
Output Neurons Weights
Inputs
Outputs
,(1)
W10 = 0.6
(1)
W20 = 0.2
(2)
Wi0 = 0.4
(2)
W20 = 0.6
(2)
W30 = 0.3
X1 = 0.5
01 = 0.6
(1)
Wi1
(2)
= 0,7
= 0.4
W2i = 0.5
W = 0.3
(2)
W31 = 0.7
X2 = 0.2
02 = 0.3
(1)
W2 = 0.3
(2)
Wi2 = 0.1
(2)
W22 = 0.4
Wz2
= 0.2
(2)
W32 = 0.1
X3 = 0.7
03 = 0.9
,(1)
W = 0.8
,(1)
W = 0.1
Learning
Activation
rate
Output of the hidden Layer
7 = 0.3
a = 1
(1)
(1)
= 0.805
= 0.636
Select one:
a. 0.736
b. 0.7495
c. 0.622
d. 0.716
e. 0.777](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F37191722-f23b-4e83-8a1d-baf301cb15c5%2F3b1cc350-1783-415a-a0ca-df8630cef5b9%2F36idcqp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Given a 3-2-3 MLP neural network with below
(2)
initializations, find y which is the output of
the first neuron in the output layer. Answers are
rounded to the third decimal.
The output of the hidden layer is given in the table
below.
Hidden Neurons Weights
Output Neurons Weights
Inputs
Outputs
,(1)
W10 = 0.6
(1)
W20 = 0.2
(2)
Wi0 = 0.4
(2)
W20 = 0.6
(2)
W30 = 0.3
X1 = 0.5
01 = 0.6
(1)
Wi1
(2)
= 0,7
= 0.4
W2i = 0.5
W = 0.3
(2)
W31 = 0.7
X2 = 0.2
02 = 0.3
(1)
W2 = 0.3
(2)
Wi2 = 0.1
(2)
W22 = 0.4
Wz2
= 0.2
(2)
W32 = 0.1
X3 = 0.7
03 = 0.9
,(1)
W = 0.8
,(1)
W = 0.1
Learning
Activation
rate
Output of the hidden Layer
7 = 0.3
a = 1
(1)
(1)
= 0.805
= 0.636
Select one:
a. 0.736
b. 0.7495
c. 0.622
d. 0.716
e. 0.777
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