基于两层的层叠自编码的深度学习模型stacked-autoencoder

代码说明：

  基于两层的层叠自编码的深度学习模型，前两层用于特征提取，再加一个Softmax分类器用于分类(Two stacked the depth of learning coding model based on the first two levels for feature extraction, coupled with a classifier for classifying Softmax)

文件列表：

stacked autoencoder
...................\checkNumericalGradient.m,2196,2016-10-21
...................\checkStackedAECost.m,1744,2011-05-09
...................\computeNumericalGradient.m,1318,2016-10-24
...................\display_network.m,2647,2011-01-05
...................\feedForwardAutoencoder.m,1295,2016-10-24
...................\initializeParameters.m,768,2016-10-20
...................\loadMNISTImages.m,811,2011-04-27
...................\loadMNISTLabels.m,516,2011-04-25
...................\minFunc
...................\.......\ArmijoBacktrack.m,3251,2011-01-03
...................\.......\autoGrad.m,807,2011-01-03
...................\.......\autoHess.m,901,2011-01-03
...................\.......\autoHv.m,317,2011-01-03
...................\.......\autoTensor.m,870,2011-01-03
...................\.......\callOutput.m,385,2011-01-03
...................\.......\conjGrad.m,1845,2011-01-03
...................\.......\dampedUpdate.m,995,2011-01-03
...................\.......\example_minFunc.m,2421,2011-01-03
...................\.......\example_minFunc_LR.m,1604,2011-01-03
...................\.......\isLegal.m,107,2011-01-03
...................\.......\lbfgs.m,924,2011-01-03
...................\.......\lbfgsC.c,2408,2011-01-03
...................\.......\lbfgsC.mexa64,7707,2011-01-03
...................\.......\lbfgsC.mexglx,7733,2011-01-03
...................\.......\lbfgsC.mexmac,9500,2011-01-03
...................\.......\lbfgsC.mexmaci,12660,2011-01-03
...................\.......\lbfgsC.mexmaci64,8800,2011-01-03
...................\.......\lbfgsC.mexw32,7168,2011-01-03
...................\.......\lbfgsC.mexw64,9728,2011-01-03
...................\.......\lbfgsUpdate.m,614,2011-01-03
...................\.......\logistic
...................\.......\........\LogisticDiagPrecond.m,417,2011-01-03
...................\.......\........\LogisticHv.m,216,2011-01-03
...................\.......\........\LogisticLoss.m,659,2011-01-03
...................\.......\........\mexutil.c,1154,2011-01-03
...................\.......\........\mexutil.h,317,2011-01-03
...................\.......\........\mylogsumexp.m,227,2011-01-03
...................\.......\........\repmatC.c,3965,2011-01-03
...................\.......\........\repmatC.dll,7680,2011-01-03
...................\.......\........\repmatC.mexglx,20682,2011-01-03
...................\.......\........\repmatC.mexmac,10000,2011-01-03
...................\.......\mchol.m,1287,2011-01-03
...................\.......\mcholC.c,4190,2011-01-03
...................\.......\mcholC.mexmaci64,13184,2011-01-03
...................\.......\mcholC.mexw32,8192,2011-01-03
...................\.......\mcholC.mexw64,12288,2011-01-03
...................\.......\mcholinc.m,564,2011-01-03
...................\.......\minFunc.m,43634,2011-01-03
...................\.......\minFunc_processInputOptions.m,3704,2011-01-03
...................\.......\polyinterp.m,4217,2011-01-03
...................\.......\precondDiag.m,42,2011-01-03
...................\.......\precondTriu.m,51,2011-01-03
...................\.......\precondTriuDiag.m,60,2011-01-03
...................\.......\rosenbrock.m,1074,2011-01-03
...................\.......\taylorModel.m,677,2011-01-03
...................\.......\WolfeLineSearch.m,11478,2011-01-03
...................\params2stack.m,1174,2011-05-09
...................\softmaxCost.m,1814,2016-10-24
...................\softmaxPredict.m,766,2016-10-24
...................\softmaxTrain.m,1891,2011-05-10
...................\sparseAutoencoderCost.m,4686,2016-10-21
...................\stack2params.m,1653,2011-05-09
...................\stackedAECost.m,4079,2016-10-25
...................\stackedAEExercise.m,9852,2016-10-25
...................\stackedAEPredict.m,1560,2016-10-25
...................\step2.mat,2418855,2016-10-25
...................\step3.mat,617874,2016-10-25
...................\step4.mat,15602,2016-10-25
...................\step5.mat,1546043,2016-10-25
...................\t10k-images.idx3-ubyte,7840016,1998-01-26
...................\t10k-labels.idx1-ubyte,10008,1998-01-26
...................\train-images.idx3-ubyte,47040016,1996-11-18
...................\train-labels.idx1-ubyte,60008,1996-11-18