堆栈自编码stackedAE

代码说明：

  堆栈自编码，通过两个稀疏自编码的堆叠和softmax分类模型，实现手写体的分类。(Stack self-encoding, since encoding by two sparse stack and softmax classification model to classify handwriting.)

文件列表：

stackedAE
.........\checkStackedAECost.m,1744,2011-05-10
.........\display_network.m,2647,2011-01-05
.........\feedForwardAutoencoder.asv,1357,2015-09-16
.........\feedForwardAutoencoder.m,1378,2015-09-16
.........\initializeParameters.m,622,2011-01-05
.........\loadMNISTImages.m,811,2011-04-28
.........\loadMNISTLabels.m,516,2011-04-26
.........\minFunc
.........\.......\ArmijoBacktrack.m,3251,2011-01-04
.........\.......\autoGrad.m,807,2011-01-04
.........\.......\autoHess.m,901,2011-01-04
.........\.......\autoHv.m,317,2011-01-04
.........\.......\autoTensor.m,870,2011-01-04
.........\.......\callOutput.m,385,2011-01-04
.........\.......\conjGrad.m,1845,2011-01-04
.........\.......\dampedUpdate.m,995,2011-01-04
.........\.......\example_minFunc.m,2421,2011-01-04
.........\.......\example_minFunc_LR.m,1604,2011-01-04
.........\.......\isLegal.m,107,2011-01-04
.........\.......\lbfgs.m,924,2011-01-04
.........\.......\lbfgsC.c,2408,2011-01-04
.........\.......\lbfgsC.mexa64,7707,2011-01-04
.........\.......\lbfgsC.mexglx,7733,2011-01-04
.........\.......\lbfgsC.mexmac,9500,2011-01-04
.........\.......\lbfgsC.mexmaci,12660,2011-01-04
.........\.......\lbfgsC.mexmaci64,8800,2011-01-04
.........\.......\lbfgsC.mexw32,7168,2011-01-04
.........\.......\lbfgsC.mexw64,9728,2011-01-04
.........\.......\lbfgsUpdate.m,614,2011-01-04
.........\.......\logistic
.........\.......\........\LogisticDiagPrecond.m,417,2011-01-04
.........\.......\........\LogisticHv.m,216,2011-01-04
.........\.......\........\LogisticLoss.m,659,2011-01-04
.........\.......\........\mexutil.c,1154,2011-01-04
.........\.......\........\mexutil.h,317,2011-01-04
.........\.......\........\mylogsumexp.m,227,2011-01-04
.........\.......\........\repmatC.c,3965,2011-01-04
.........\.......\........\repmatC.dll,7680,2011-01-04
.........\.......\........\repmatC.mexglx,20682,2011-01-04
.........\.......\........\repmatC.mexmac,10000,2011-01-04
.........\.......\mchol.m,1287,2011-01-04
.........\.......\mcholC.c,4190,2011-01-04
.........\.......\mcholC.mexmaci64,13184,2011-01-04
.........\.......\mcholC.mexw32,8192,2011-01-04
.........\.......\mcholC.mexw64,12288,2011-01-04
.........\.......\mcholinc.m,564,2011-01-04
.........\.......\minFunc.m,43634,2011-01-04
.........\.......\minFunc_processInputOptions.m,3704,2011-01-04
.........\.......\polyinterp.m,4217,2011-01-04
.........\.......\precondDiag.m,42,2011-01-04
.........\.......\precondTriu.m,51,2011-01-04
.........\.......\precondTriuDiag.m,60,2011-01-04
.........\.......\rosenbrock.m,1074,2011-01-04
.........\.......\taylorModel.m,677,2011-01-04
.........\.......\WolfeLineSearch.m,11478,2011-01-04
.........\params2stack.m,1174,2011-05-10
.........\softmaxCost.m,1252,2015-07-26
.........\softmaxTrain.m,1891,2011-05-11
.........\sparseAutoencoderCost.m,4365,2015-09-24
.........\stack2params.m,1653,2011-05-10
.........\stackedAECost.asv,4176,2015-09-16
.........\stackedAECost.m,4176,2015-09-16
.........\stackedAEExercise.asv,9243,2015-09-24
.........\stackedAEExercise.m,9243,2015-09-24
.........\stackedAEPredict.asv,1639,2015-09-16
.........\stackedAEPredict.m,1638,2015-09-16
.........\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