A Finite Boltzmann machine and deep belief network are implemented in MATLAB and verified with MNIST data. It is helpful to understand the principle of deep learning.

Filename	Size	Update
RBM-DBN\CalcErrorRate.m	1030	2016-08-04
RBM-DBN\CalcRmse.m	1138	2016-08-04
RBM-DBN\GetDroppedDBN.m	1935	2016-08-04
RBM-DBN\GetOnInd.m	1357	2016-08-04
RBM-DBN\h2v.m	1794	2016-08-04
RBM-DBN\linearMapping.m	1128	2016-08-04
RBM-DBN\mnist\evaMNIST.m	1124	2016-08-04
RBM-DBN\mnist\mnistbbdbn.mat	4770186	2016-08-04
RBM-DBN\mnist\mnistread.m	1884	2016-08-04
RBM-DBN\mnist\readme.txt	240	2016-08-04
RBM-DBN\mnist\testMNIST.m	22	2016-08-04
RBM-DBN\mnist\trainMNIST.m	1502	2016-08-04
RBM-DBN\ObjectFunc.m	673	2016-08-04
RBM-DBN\pretrainDBN.m	2876	2016-08-04
RBM-DBN\pretrainRBM.m	6644	2016-08-04
RBM-DBN\randDBN.m	1611	2016-08-04
RBM-DBN\randRBM.m	1355	2016-08-04
RBM-DBN\SetLinearMapping.m	1690	2016-08-04
RBM-DBN\sigmoid.m	618	2016-08-04
RBM-DBN\testDNN.m	542	2016-08-04
RBM-DBN\trainDBN.m	12217	2016-08-04
RBM-DBN\v2h.m	1795	2016-08-04
RBM-DBN\v2hall.m	1262	2016-08-04
RBM-DBN\mnist	0	2018-08-11
RBM-DBN	0	2018-08-11

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