Consider the following training set input values х'%3D (1, x? = (0, x'= (- 1, No. desired output value 1. 0, - 1, - 0.5, - 1)" 1)" -1 2. - 1)" 1 3. 1 Assume the learning rate is 0.1 and the initial weight vector is w, = (1, -1, 0)". After training draw the neural network.

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
Consider the following training set
input values
x' = (1,
x? = (0,
х3 (- 1, -0.5, -1)"
No.
desired output value
1.
0,
- 1,
1)"
- 1)"
-1
2.
1
3.
1
Assume the learning rate is 0.1 and the initial weight vector is w, = (1, -1, 0)". After
training draw the neural network.
Transcribed Image Text:Consider the following training set input values x' = (1, x? = (0, х3 (- 1, -0.5, -1)" No. desired output value 1. 0, - 1, 1)" - 1)" -1 2. 1 3. 1 Assume the learning rate is 0.1 and the initial weight vector is w, = (1, -1, 0)". After training draw the neural network.
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