Softmax回归模型(matlab代码)

代码说明：

说明：  softmax回归模型是一种常用的分类器，也是与深度结构模型相结合最多的分类方法.(Softmax regression model is a common classifier, and it is also the most combined with deep structure model)

文件列表：

softmax_exercise, 0 , 2016-03-30
softmax_exercise\computeNumericalGradient.m, 1510 , 2016-03-30
softmax_exercise\loadMNISTImages.m, 811 , 2014-03-25
softmax_exercise\loadMNISTLabels.m, 516 , 2011-04-25
softmax_exercise\minFunc, 0 , 2016-03-25
softmax_exercise\minFunc\ArmijoBacktrack.m, 3251 , 2011-01-03
softmax_exercise\minFunc\autoGrad.m, 807 , 2011-01-03
softmax_exercise\minFunc\autoHess.m, 901 , 2011-01-03
softmax_exercise\minFunc\autoHv.m, 317 , 2011-01-03
softmax_exercise\minFunc\autoTensor.m, 870 , 2011-01-03
softmax_exercise\minFunc\callOutput.m, 385 , 2011-01-03
softmax_exercise\minFunc\conjGrad.m, 1845 , 2011-01-03
softmax_exercise\minFunc\dampedUpdate.m, 995 , 2011-01-03
softmax_exercise\minFunc\example_minFunc.m, 2421 , 2011-01-03
softmax_exercise\minFunc\example_minFunc_LR.m, 1604 , 2011-01-03
softmax_exercise\minFunc\isLegal.m, 107 , 2011-01-03
softmax_exercise\minFunc\lbfgs.m, 924 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.c, 2408 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexa64, 7707 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexglx, 7733 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexmac, 9500 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexmaci, 12660 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexmaci64, 8800 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexw32, 7168 , 2011-01-03
softmax_exercise\minFunc\lbfgsC.mexw64, 9728 , 2011-01-03
softmax_exercise\minFunc\lbfgsUpdate.m, 614 , 2011-01-03
softmax_exercise\minFunc\logistic, 0 , 2016-03-25
softmax_exercise\minFunc\logistic\LogisticDiagPrecond.m, 417 , 2011-01-03
softmax_exercise\minFunc\logistic\LogisticHv.m, 216 , 2011-01-03
softmax_exercise\minFunc\logistic\LogisticLoss.m, 659 , 2011-01-03
softmax_exercise\minFunc\logistic\mexutil.c, 1154 , 2011-01-03
softmax_exercise\minFunc\logistic\mexutil.h, 317 , 2011-01-03
softmax_exercise\minFunc\logistic\mylogsumexp.m, 227 , 2011-01-03
softmax_exercise\minFunc\logistic\repmatC.c, 3965 , 2011-01-03
softmax_exercise\minFunc\logistic\repmatC.dll, 7680 , 2011-01-03
softmax_exercise\minFunc\logistic\repmatC.mexglx, 20682 , 2011-01-03
softmax_exercise\minFunc\logistic\repmatC.mexmac, 10000 , 2011-01-03
softmax_exercise\minFunc\mchol.m, 1287 , 2011-01-03
softmax_exercise\minFunc\mcholC.c, 4190 , 2011-01-03
softmax_exercise\minFunc\mcholC.mexmaci64, 13184 , 2011-01-03
softmax_exercise\minFunc\mcholC.mexw32, 8192 , 2011-01-03
softmax_exercise\minFunc\mcholC.mexw64, 12288 , 2011-01-03
softmax_exercise\minFunc\mcholinc.m, 564 , 2011-01-03
softmax_exercise\minFunc\minFunc.m, 43634 , 2011-01-03
softmax_exercise\minFunc\minFunc_processInputOptions.m, 3704 , 2011-01-03
softmax_exercise\minFunc\polyinterp.m, 4217 , 2011-01-03
softmax_exercise\minFunc\precondDiag.m, 42 , 2011-01-03
softmax_exercise\minFunc\precondTriu.m, 51 , 2011-01-03
softmax_exercise\minFunc\precondTriuDiag.m, 60 , 2011-01-03
softmax_exercise\minFunc\rosenbrock.m, 1074 , 2011-01-03
softmax_exercise\minFunc\taylorModel.m, 677 , 2011-01-03
softmax_exercise\minFunc\WolfeLineSearch.m, 11478 , 2011-01-03
softmax_exercise\Mysoftmax_classifier.m, 1617 , 2016-03-30
softmax_exercise\softmaxCost.m, 1793 , 2016-03-30
softmax_exercise\softmaxPredict.m, 936 , 2016-03-30
softmax_exercise\softmaxTrain.m, 1900 , 2016-03-30
softmax_exercise\t10k-images.idx3-ubyte, 7840016 , 1998-01-26
softmax_exercise\t10k-labels.idx1-ubyte, 10008 , 1998-01-26
softmax_exercise\train-images.idx3-ubyte, 47040016 , 1996-11-18
softmax_exercise\train-labels.idx1-ubyte, 60008 , 1996-11-18