By using single layer perceptron algorithm classify the following patterns. Where X1 and X; are inputs Y is the output. Learning rate is 0.5 , output is 1 if weighted sum >-0.5 otherwise 0 and weights wi =0.2 and w; 0.3 %3D XI X2 Y 1 1 1 1 1
By using single layer perceptron algorithm classify the following patterns. Where X1 and X; are inputs Y is the output. Learning rate is 0.5 , output is 1 if weighted sum >-0.5 otherwise 0 and weights wi =0.2 and w; 0.3 %3D XI X2 Y 1 1 1 1 1
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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![By using single layer perceptron algorithm classify the following patterns. Where Xị and
X are inputs Y is the output. Learning rate is 0.5 , output is 1 if weighted sum >=0.5
otherwise 0 and weights wi =0.2 and w; = 0.3
XI
X2
Y
1
1
1
1
1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5de9b1a7-ce04-43f5-87d9-4de3e25f8076%2F29263da1-00f4-4f13-9f3c-95ba25fc7ec1%2Fz6rt26m_processed.jpeg&w=3840&q=75)
Transcribed Image Text:By using single layer perceptron algorithm classify the following patterns. Where Xị and
X are inputs Y is the output. Learning rate is 0.5 , output is 1 if weighted sum >=0.5
otherwise 0 and weights wi =0.2 and w; = 0.3
XI
X2
Y
1
1
1
1
1
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