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< tham>
Hi, zoq, thanks for your helps
< tham>
I run the example you provided, the results are much better now(around 92%)
< tham>
I post the results at here(http://pastebin.com/Z3nuWAbd), sometimes the accuracy can over 95%, it is quite random
< tham>
Besides, since the training set and test set are the same(training set == test set), I think this is not overfitting but underfitting
< tham>
change the weight initialization policy fix the problem
< tham>
About the Train function of the trainer, is it ok to declare the Training data, Training labels and validationData, validationLabels as const
< tham>
If the results of those input would not be changed but the implementation details need it to be non const
< tham>
Is it safe to do the const cast?
< tham>
What I mean is, change the Train api as following