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How to get the answer? I DONT WANT A PROGRAM CODE please. Q10. Consider training a neural network that has a single output using 5

How to get the answer?
I DONT WANT A PROGRAM CODE please.
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Q10. Consider training a neural network that has a single output using 5 training samples. The table below shows the computed by0biv for each of the input samples. Assuming that w1,1(3)=1, a learning rate =0.3, and we are using gradient decent that updates the weights once after processing all training samples. Then the updated value for w1,1(3) is: (a) 0.94 (b) 0.70 (c) 1.06 (d) 1.30 (e) None of the above

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