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By normalizing the weight at every stage can we prevent divergence?

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By normalizing the weight at every stage can we prevent divergence? (a) yes (b) no This question was addressed to me in unit test. I would like to ask this question from Feedback Layer topic in portion Competitive Learning Neural Networks of Neural Networks Please answer the above question.

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Correct choice is (a) yes The best I can explain: ||w|| = 1 .

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