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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

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Best answer
Correct choice is (a) yes

The best I can explain: ||w|| = 1 .

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