3- Perform two training steps of the network using the Delta Learning rule for λ = 1 and c = 0.5 Train the network using the following data pairs 3 4 (₁₁-1₁ - [ ₁ ] ₁&₁ = -1) · (x₂ = [ - ] · 4₂ = 1) x1 = -2,d₂ The initial weights are w¹ 1 = Solution by matlab [ 0 and then write it's a program code? [Hint: Use f'(net) = logsig)]

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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3- Perform two training steps of the network using the Delta Learning rule for λ = 1
and c = 0.5 Train the network using the following data pairs
3
4
(x₁=[ ] ₁4₁ = -1) · (×2 - [ ² ] ₁
L
X1 0,d₁
-2
-1
| . d₂ = 1)
dz
The initial weights are w¹
=
-H
[Hint: Use f'(net) = logsig)]
Solution by
matlab
0 and then write it's a program code?
Transcribed Image Text:3- Perform two training steps of the network using the Delta Learning rule for λ = 1 and c = 0.5 Train the network using the following data pairs 3 4 (x₁=[ ] ₁4₁ = -1) · (×2 - [ ² ] ₁ L X1 0,d₁ -2 -1 | . d₂ = 1) dz The initial weights are w¹ = -H [Hint: Use f'(net) = logsig)] Solution by matlab 0 and then write it's a program code?
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