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Convergence in perceptron learning takes place if and only if: (a) a minimal error condition is satisfied (b) actual output is close to desired output (c) classes are linearly separable (d) all of the mentioned Please answer the above question.

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Right answer is (c) classes are linearly separable The best I can explain: Linear separability of classes is the condition for convergence of weighs in perceprton learning.

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