APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
Question
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A neuron with 3 inputs has weight vector [0.2, -0.1, 0.1]^T, a bias of b = 0 and a ReLU activation function. If the input vector is X = [0.2, 0.4, 0.2]^T, then what is the output value of the neuron?
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0.2
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0.1
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0.02
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-0.1
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Explanation:
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