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Title: Deep Neural Network Download
  • Category:
  • matlab
  • Tags:
  • File Size:
  • 20.22mb
  • Update:
  • 2019-08-19
  • Downloads:
  • 0 Times
  • Uploaded by:
  • 春风吹又生
 Description: 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.
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File list (Check if you may need any files): 
FilenameSizeDate
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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