The deep neural network algorithm can be directly used for model training and machine learning. The algorithm is reliable.

Filename	Size	Update
DBN\allcomb.m	2618	2014-05-11
DBN\data1.mat	93015	2015-01-21
DBN\data2.mat	92845	2015-01-21
DBN\data3.mat	92937	2015-01-21
DBN\data4.mat	93438	2015-01-21
DBN\dbnsetup.asv	671	2015-02-20
DBN\dbnsetup.m	665	2015-02-20
DBN\dbntrain.asv	254	2015-02-11
DBN\dbntrain.m	308	2015-02-11
DBN\dbnunfoldtonn.asv	674	2015-02-21
DBN\dbnunfoldtonn.m	674	2015-02-21
DBN\expand.m	1958	2014-05-11
DBN\flicker.m	208	2014-05-11
DBN\flipall.m	80	2014-05-11
DBN\fliplrf.m	543	2014-05-11
DBN\flipudf.m	576	2014-05-11
DBN\im2patches.m	313	2014-05-11
DBN\isOctave.m	108	2014-05-11
DBN\makeLMfilters.m	1895	2014-05-11
DBN\mnist_uint8.mat	14735220	2014-05-11
DBN\myOctaveVersion.m	169	2014-05-11
DBN\nnapplygrads.m	641	2015-02-11
DBN\nnbp.m	1691	2015-02-11
DBN\nnchecknumgrad.m	704	2014-05-11
DBN\nneval.m	811	2014-05-11
DBN\nnff.asv	2225	2015-02-11
DBN\nnff.m	2225	2015-02-11
DBN\nnpredict.m	192	2014-05-11
DBN\nnsetup.m	2032	2015-02-11
DBN\nntest.m	191	2015-02-15
DBN\nntrain.m	2586	2015-02-11
DBN\nnupdatefigures.m	1858	2014-05-11
DBN\normalize.m	97	2014-05-11
DBN\patches2im.m	242	2014-05-11
DBN\randcorr.m	283	2014-05-11
DBN\randp.m	2083	2014-05-11
DBN\rbmdown.m	90	2014-05-11
DBN\rbmtrain.asv	1521	2015-02-11
DBN\rbmtrain.m	1525	2015-02-11
DBN\rbmup.asv	151	2015-02-11
DBN\rbmup.m	192	2015-02-11
DBN\rnd.m	49	2014-05-11
DBN\sigm.m	48	2014-05-11
DBN\sigmrnd.m	126	2014-05-11
DBN\softmax.m	256	2014-05-11
DBN\tanh_opt.m	54	2014-05-11
DBN\Untitled.asv	1867	2015-02-21
DBN\Untitled.m	1867	2015-02-21
DBN\Untitled1.asv	6293	2015-02-21
DBN\Untitled1.m	6293	2015-02-21
DBN\Untitled2.asv	10176	2015-02-21
DBN\Untitled2.m	10177	2015-02-21
DBN\visualize.m	1072	2014-05-11
DBN\whiten.m	183	2014-05-11
DBN\zscore.m	137	2014-05-11
DBN	0	2015-03-02

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