In the training process of deep neural network, firstly, initialization is carried out, and the basic structure of the neural network is set up according to the demand; secondly, feedforward is carried out, and errors are obtained by transferring between layers; then back propogation is carried out, and random gradient is used according to the principle of error minimization. The descent method is used to derive the parameters, determine the descent direction and update the parameters.

Filename	Size	Update
DeepNeuralNetwork20160805	0	2018-04-22
DeepNeuralNetwork20160805\DeepNeuralNetwork	0	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\CalcErrorRate.m	1030	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\CalcRmse.m	1138	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\DeepNeuralNetwork20160805.mltbx	4813902	2018-04-20
DeepNeuralNetwork20160805\DeepNeuralNetwork\GetDroppedDBN.m	1935	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\GetOnInd.m	1357	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\h2v.m	1794	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\linearMapping.m	1128	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist	0	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\evaMNIST.m	1124	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\mnistbbdbn.mat	4770186	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\mnistread.m	1884	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\readme.txt	240	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\t10k-images-idx3-ubyte	1648877	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\t10k-labels-idx1-ubyte	4542	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\testMNIST.m	22	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\train-images-idx3-ubyte	9912422	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\train-labels-idx1-ubyte	28881	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\mnist\trainMNIST.m	1502	2018-04-23
DeepNeuralNetwork20160805\DeepNeuralNetwork\ObjectFunc.m	673	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\pretrainDBN.m	2876	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\pretrainRBM.m	6644	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\randDBN.m	1611	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\randRBM.m	1355	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\SetLinearMapping.m	1690	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\sigmoid.m	618	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\testDNN.m	542	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\trainDBN.m	12217	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\v2h.m	1795	2016-08-04
DeepNeuralNetwork20160805\DeepNeuralNetwork\v2hall.m	1262	2016-08-04
DeepNeuralNetwork20160805\license.txt	1315	2016-08-04

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