Softmax exercise

  Softmax用于多分类问题，本例是将MNIST手写数字数据库中的数据0-9十个数字进行分类，其中训练样本有6万个，测试样本有1万个数字是0~9(Softmax for multi classification problems, the present case is the handwritten data MNIST digital 0-9, classification, training samples which have 60,000, there are 10,000 test samples digit 0 to 9)

Softmax_exercise
................\computeNumericalGradient.m,1318,2016-10-24
................\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
................\softmaxCost.m,1814,2016-10-24
................\softmaxExercise.m,4926,2016-10-24
................\softmaxPredict.m,766,2016-10-24
................\softmaxTrain.m,1891,2011-05-10
................\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