How can learning process be stopped in backpropagation rule?(a) there is convergence involved(b) no heuristic criteria exist(c) on basis of average gradient value(d) none of the mentionedI got this question during an internship interview.This intriguing question originated from Backpropagation Algorithm topic in division Feedforward Neural Networks of Neural Networks

How can learning process be stopped in backpropagation rule?(a) there

1.	How can learning process be stopped in backpropagation rule?(a) there is convergence involved(b) no heuristic criteria exist(c) on basis of average gradient value(d) none of the mentionedI got this question during an internship interview.This intriguing question originated from Backpropagation Algorithm topic in division Feedforward Neural Networks of Neural Networks
Answer» RIGHT answer is (C) on basis of average gradient value The explanation is: If average gadient value FALL below a PRESET threshold value, the PROCESS may be stopped.

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