Figure Q4 shows a fully connected feed-forward neural network, being fed with a single input instance of [1.0, 0.4, 0.7]. Initial weight values for the network are given in Table Q4. Calculate the output value for the given input. In your answer, use the Rectified Linear Unit (ReLU) as the activation function.
Figure Q4 shows a fully connected feed-forward neural network, being fed with a single input instance of [1.0, 0.4, 0.7]. Initial weight values for the network are given in Table Q4. Calculate the output value for the given input. In your answer, use the Rectified Linear Unit (ReLU) as the activation function.
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Figure Q4 shows a fully connected feed-forward neural network, being fed with a single input instance of [1.0, 0.4, 0.7]. Initial weight values for the network are given in Table Q4. Calculate the output value for the given input. In your answer, use the Rectified Linear Unit (ReLU) as the activation function. (20MARKS)
![1.0
0.4
0.7
W₁1
0.20
Node 1
Node 2
Node 3
W₁ li
Wij
W2j
W
3i
Node j
Node i
Wijk
ik
Node k
Figure Q4
Table Q4: Initial weight values or the neural network
W31 W31 Wik
W₁i W₂1
Wzi
Wik
0.10
0.30 -0.10
-0.10 0.20 0.10 0.50](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff2329983-3bb9-4d6b-9a1a-dc15501f5cd2%2Fda07f47b-f0c9-43b8-98a8-1c870980a01b%2Fvuood2_processed.png&w=3840&q=75)
Transcribed Image Text:1.0
0.4
0.7
W₁1
0.20
Node 1
Node 2
Node 3
W₁ li
Wij
W2j
W
3i
Node j
Node i
Wijk
ik
Node k
Figure Q4
Table Q4: Initial weight values or the neural network
W31 W31 Wik
W₁i W₂1
Wzi
Wik
0.10
0.30 -0.10
-0.10 0.20 0.10 0.50
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