If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be r

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answerhappygod
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If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be r

Post by answerhappygod »

a) na(i)
b) n^
c) ^a(i)
d) none of the mentioned
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