A Problem with the Deep Belief Network C++ codes

[aykutm]

I applied your dbn.cpp code . But for your all test data, the prediction results are equal. It is an unexpected situation (if we give a training sample as a train sample it can not find the true class, too). What is the problem? I expect your help.

[littlewei39]

you need to change the mod from Debug to Release, then the answer is right

[carterbao]

Why changing from Debug mode to Release makes it work?Could anyone explain that?

[carterbao]

I got it, in the HiddenLayer(int size, int in, int out, double **w, double *bp) construction function, after b = new double[n_out]; each element of b should be initialized to zero, otherwise they will be randomly initialized to be too large in debug mode. However in release mode, they are initialized to small values.

[auxs2015]

@carterbao it works