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In perceptron learning, what happens when input vector is correctly classified?

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In perceptron learning, what happens when input vector is correctly classified? (a) small adjustments in weight is done (b) large adjustments in weight is done (c) no adjustments in weight is done (d) weight adjustments doesn’t depend on classification of input vector Please answer the above question.

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Correct answer is (c) no adjustments in weight is done Best explanation: No adjustments in weight is done, since input has been correctly classified which is the objective of the system.

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