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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.

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
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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