Exercise5-Softmax-Regression

代码说明：

  斯坦福深度学习教程中关于softmax regression的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行(Stanford deep learning tutorial exercises on softmax regression code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the path of a database, you can run directly)

文件列表：

Exercise5 Softmax Regression
............................\computeNumericalGradient.m,1531,2013-04-09
............................\loadMNISTImages.m,906,2013-04-13
............................\loadMNISTLabels.m,516,2013-04-09
............................\minFunc
............................\.......\ArmijoBacktrack.m,3143,2013-04-09
............................\.......\autoGrad.m,807,2013-04-09
............................\.......\autoHess.m,901,2013-04-09
............................\.......\autoHv.m,307,2013-04-09
............................\.......\autoTensor.m,870,2013-04-09
............................\.......\callOutput.m,374,2013-04-09
............................\.......\conjGrad.m,1763,2013-04-09
............................\.......\dampedUpdate.m,953,2013-04-09
............................\.......\example_minFunc.m,2421,2013-04-09
............................\.......\example_minFunc_LR.m,1556,2013-04-09
............................\.......\isLegal.m,106,2013-04-09
............................\.......\lbfgs.m,885,2013-04-09
............................\.......\lbfgsC.c,2293,2013-04-09
............................\.......\lbfgsC.mexa64,7707,2013-04-09
............................\.......\lbfgsC.mexglx,7733,2013-04-09
............................\.......\lbfgsC.mexmac,9500,2013-04-09
............................\.......\lbfgsC.mexmaci,12660,2013-04-09
............................\.......\lbfgsC.mexmaci64,8800,2013-04-09
............................\.......\lbfgsC.mexw32,7168,2013-04-09
............................\.......\lbfgsC.mexw64,9728,2013-04-09
............................\.......\lbfgsUpdate.m,594,2013-04-09
............................\.......\logistic
............................\.......\........\LogisticDiagPrecond.m,397,2013-04-09
............................\.......\........\LogisticHv.m,208,2013-04-09
............................\.......\........\LogisticLoss.m,625,2013-04-09
............................\.......\........\mexutil.c,1111,2013-04-09
............................\.......\........\mexutil.h,309,2013-04-09
............................\.......\........\mylogsumexp.m,219,2013-04-09
............................\.......\........\repmatC.c,3816,2013-04-09
............................\.......\........\repmatC.dll,7680,2013-04-09
............................\.......\........\repmatC.mexglx,20682,2013-04-09
............................\.......\........\repmatC.mexmac,10000,2013-04-09
............................\.......\mchol.m,1228,2013-04-09
............................\.......\mcholC.c,3992,2013-04-09
............................\.......\mcholC.mexmaci64,13184,2013-04-09
............................\.......\mcholC.mexw32,8192,2013-04-09
............................\.......\mcholC.mexw64,12288,2013-04-09
............................\.......\mcholinc.m,539,2013-04-09
............................\.......\minFunc.m,42489,2013-04-09
............................\.......\minFunc_processInputOptions.m,3551,2013-04-09
............................\.......\polyinterp.m,4073,2013-04-09
............................\.......\precondDiag.m,41,2013-04-09
............................\.......\precondTriu.m,50,2013-04-09
............................\.......\precondTriuDiag.m,59,2013-04-09
............................\.......\rosenbrock.m,1074,2013-04-09
............................\.......\taylorModel.m,677,2013-04-09
............................\.......\WolfeLineSearch.m,11106,2013-04-09
............................\softmaxCost.m,1990,2013-04-09
............................\softmaxExercise.m,4775,2013-04-13
............................\softmaxPredict.m,951,2013-04-09
............................\softmaxTrain.m,1891,2013-04-09