Q10) Apply the back propagation algorithm to update the weights for a single epoch in the shown multi-layer N. N. It is known that the desired output Ya = 0.5 and the learning rate 7 = 1. use the following weight update equation: Wnew = Wold+n[Yd-Yp]X 0.35. W1=0.1 W2=0.4 W3= 0.8 0.9 X₂ W4= 0.6 Y₂ Y₂ W5= 0.3 w6= 0.9 y
Q10) Apply the back propagation algorithm to update the weights for a single epoch in the shown multi-layer N. N. It is known that the desired output Ya = 0.5 and the learning rate 7 = 1. use the following weight update equation: Wnew = Wold+n[Yd-Yp]X 0.35. W1=0.1 W2=0.4 W3= 0.8 0.9 X₂ W4= 0.6 Y₂ Y₂ W5= 0.3 w6= 0.9 y
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
![Q10) Apply the back propagation algorithm to update the weights for a
single epoch in the shown multi-layer N. N. It is known that the desired
output Ya = 0.5 and the learning rate n = 1. use the following weight
update equation: Wnew = Wold+n[Yd-Yp]X
0.35
0.9
X₁
W1=0.1
W2=0.4
W3 = 0.8
X₂
W4= 0.6
Y₁
Y₂
W5= 0.3
w6= 0.9](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F87672329-fb47-46b9-97b6-9be6c169012d%2F1d4da844-dc93-4734-8928-2921e189946a%2Fr9qdsc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Q10) Apply the back propagation algorithm to update the weights for a
single epoch in the shown multi-layer N. N. It is known that the desired
output Ya = 0.5 and the learning rate n = 1. use the following weight
update equation: Wnew = Wold+n[Yd-Yp]X
0.35
0.9
X₁
W1=0.1
W2=0.4
W3 = 0.8
X₂
W4= 0.6
Y₁
Y₂
W5= 0.3
w6= 0.9
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