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2017-03-23 07:40:43 -0600	received badge	● Student (source)
2017-03-22 20:59:34 -0600	asked a question	Does data need to be shuffled before training ANN_MLP ? Hi, I wonder whether data need to be shuffled before training ANN_MLP. And I wonder about how many samples be computed to get loss in one iter. Can anyone help me? Thank you very much~
2017-03-22 05:01:25 -0600	commented answer	What the TermCriteria means in ANN_MLP that's it.
2017-03-22 04:54:35 -0600	commented answer	What the TermCriteria means in ANN_MLP I get it, thank you
2017-03-22 04:40:27 -0600	received badge	● Scholar (source)
2017-03-22 04:39:06 -0600	commented answer	What the TermCriteria means in ANN_MLP Not exactly correct. Someone told me it's explained in the documentation of getTermCriteria() function of ANN_MLP. The link is: http://docs.opencv.org/master/d0/dce/classcv_1_1ml_1_1ANN__MLP.html#a1d38045b36f3f1363573ad0fd18b82ae (http://docs.opencv.org/master/d0/dce/...)
2017-03-22 04:17:30 -0600	commented answer	What the TermCriteria means in ANN_MLP The document says: EPS is desired accuracy or change in parameters at which the iterative algorithm stops So I don't know in ANN_MLP, it indicates accuracy or change in parameters？
2017-03-22 00:14:37 -0600	received badge	● Editor (source)
2017-03-21 23:22:48 -0600	asked a question	What the TermCriteria means in ANN_MLP Hi, Recently, I have used the ANN_MLP module. I read the document for this module. But I still doubt about this parameter. What the TermCriteria::COUNT / TermCriteria::MAX_ITER / TermCriteria::EPS specifically means in ANN_MLP ? Thank you very much！ : )