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
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Chapter2: Second-order Linear Odes
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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
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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