Deep learning tutorial about softmax regression practice code
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中文说明：
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。
English Description：
Stanford deep learning tutorial about softmax regression practice code, source code completion are needed, fill all the code complete, the handwriting recognition database on a path that can be run directly.Exercise5 Softmax Regression
............................\computeNumericalGradient.m
............................\loadMNISTImages.m
............................\loadMNISTLabels.m
............................\minFunc
............................\.......\ArmijoBacktrack.m
............................\.......\autoGrad.m
............................\.......\autoHess.m
............................\.......\autoHv.m
............................\.......\autoTensor.m
............................\.......\callOutput.m
............................\.......\conjGrad.m
............................\.......\dampedUpdate.m
............................\.......\example_minFunc.m
............................\.......\example_minFunc_LR.m
............................\.......\isLegal.m
............................\.......\lbfgs.m
............................\.......\lbfgsC.c
............................\.......\lbfgsC.mexa64
............................\.......\lbfgsC.mexglx
............................\.......\lbfgsC.mexmac
............................\.......\lbfgsC.mexmaci
............................\.......\lbfgsC.mexmaci64
............................\.......\lbfgsC.mexw32
............................\.......\lbfgsC.mexw64
............................\.......\lbfgsUpdate.m
............................\.......\logistic
............................\.......\........\LogisticDiagPrecond.m
............................\.......\........\LogisticHv.m
............................\.......\........\LogisticLoss.m
............................\.......\........\mexutil.c
............................\.......\........\mexutil.h
............................\.......\........\mylogsumexp.m
............................\.......\........\repmatC.c
............................\.......\........\repmatC.dll
............................\.......\........\repmatC.mexglx
............................\.......\........\repmatC.mexmac
............................\.......\mchol.m
............................\.......\mcholC.c
............................\.......\mcholC.mexmaci64
............................\.......\mcholC.mexw32
............................\.......\mcholC.mexw64
............................\.......\mcholinc.m
............................\.......\minFunc.m
............................\.......\minFunc_processInputOptions.m
............................\.......\polyinterp.m
............................\.......\precondDiag.m
............................\.......\precondTriu.m
............................\.......\precondTriuDiag.m
............................\.......\rosenbrock.m
............................\.......\taylorModel.m
............................\.......\WolfeLineSearch.m
............................\softmaxCost.m
............................\softmaxExercise.m
............................\softmaxPredict.m
............................\softmaxTrain.m