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Convergence refers to equilibrium behaviour of activation state?

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Convergence refers to equilibrium behaviour of activation state?

(a) yes

(b) no

I have been asked this question in an interview for internship.

My question is based upon Stability & Convergence in division Activation and Synaptic Dynamics of Neural Networks

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Correct choice is (b) no

Explanation: Convergence refers to adjustment in behaviour of weights during learning.

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