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MNIST手势识别数据库进行softmax回归分类

于 2019-05-18 发布 文件大小:10222KB
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下载积分: 1 下载次数: 3

代码说明:

  MNIST手势识别数据库进行softmax回归分类,直接运行softmaxExercise.m文件即可运行。(The MNIST gesture recognition database is classified by soft Max regression and can be run directly by running the softmaxExercise. m file.)

文件列表:

softmax\computeNumericalGradient.m, 1189 , 2019-05-13
softmax\loadMNISTImages.m, 811 , 2011-04-28
softmax\loadMNISTLabels.m, 516 , 2011-04-26
softmax\minFunc\ArmijoBacktrack.m, 3251 , 2011-01-04
softmax\minFunc\autoGrad.m, 807 , 2011-01-04
softmax\minFunc\autoHess.m, 901 , 2011-01-04
softmax\minFunc\autoHv.m, 317 , 2011-01-04
softmax\minFunc\autoTensor.m, 870 , 2011-01-04
softmax\minFunc\callOutput.m, 385 , 2011-01-04
softmax\minFunc\conjGrad.m, 1845 , 2011-01-04
softmax\minFunc\dampedUpdate.m, 995 , 2011-01-04
softmax\minFunc\example_minFunc.m, 2421 , 2011-01-04
softmax\minFunc\example_minFunc_LR.m, 1604 , 2011-01-04
softmax\minFunc\isLegal.m, 107 , 2011-01-04
softmax\minFunc\lbfgs.m, 924 , 2011-01-04
softmax\minFunc\lbfgsC.c, 2408 , 2011-01-04
softmax\minFunc\lbfgsC.mexa64, 7707 , 2011-01-04
softmax\minFunc\lbfgsC.mexglx, 7733 , 2011-01-04
softmax\minFunc\lbfgsC.mexmac, 9500 , 2011-01-04
softmax\minFunc\lbfgsC.mexmaci, 12660 , 2011-01-04
softmax\minFunc\lbfgsC.mexmaci64, 8800 , 2011-01-04
softmax\minFunc\lbfgsC.mexw32, 7168 , 2011-01-04
softmax\minFunc\lbfgsC.mexw64, 9728 , 2011-01-04
softmax\minFunc\lbfgsUpdate.m, 614 , 2011-01-04
softmax\minFunc\logistic\LogisticDiagPrecond.m, 417 , 2011-01-04
softmax\minFunc\logistic\LogisticHv.m, 216 , 2011-01-04
softmax\minFunc\logistic\LogisticLoss.m, 659 , 2011-01-04
softmax\minFunc\logistic\mexutil.c, 1154 , 2011-01-04
softmax\minFunc\logistic\mexutil.h, 317 , 2011-01-04
softmax\minFunc\logistic\mylogsumexp.m, 227 , 2011-01-04
softmax\minFunc\logistic\repmatC.c, 3965 , 2011-01-04
softmax\minFunc\logistic\repmatC.dll, 7680 , 2011-01-04
softmax\minFunc\logistic\repmatC.mexglx, 20682 , 2011-01-04
softmax\minFunc\logistic\repmatC.mexmac, 10000 , 2011-01-04
softmax\minFunc\mchol.m, 1287 , 2011-01-04
softmax\minFunc\mcholC.c, 4190 , 2011-01-04
softmax\minFunc\mcholC.mexmaci64, 13184 , 2011-01-04
softmax\minFunc\mcholC.mexw32, 8192 , 2011-01-04
softmax\minFunc\mcholC.mexw64, 12288 , 2011-01-04
softmax\minFunc\mcholinc.m, 564 , 2011-01-04
softmax\minFunc\minFunc.m, 43634 , 2011-01-04
softmax\minFunc\minFunc_processInputOptions.m, 3704 , 2011-01-04
softmax\minFunc\polyinterp.m, 4217 , 2011-01-04
softmax\minFunc\precondDiag.m, 42 , 2011-01-04
softmax\minFunc\precondTriu.m, 51 , 2011-01-04
softmax\minFunc\precondTriuDiag.m, 60 , 2011-01-04
softmax\minFunc\rosenbrock.m, 1074 , 2011-01-04
softmax\minFunc\taylorModel.m, 677 , 2011-01-04
softmax\minFunc\WolfeLineSearch.m, 11478 , 2011-01-04
softmax\softmaxCost.m, 1428 , 2019-05-18
softmax\softmaxExercise.m, 4752 , 2019-05-18
softmax\softmaxPredict.m, 937 , 2019-05-18
softmax\softmaxTrain.m, 1891 , 2011-05-11
softmax\t10k-images.idx3-ubyte, 7840016 , 1998-01-26
softmax\t10k-labels.idx1-ubyte, 10008 , 1998-01-26
softmax\train-images.idx3-ubyte, 47040016 , 1996-11-18
softmax\train-labels.idx1-ubyte, 60008 , 1996-11-18
softmax\minFunc\logistic, 0 , 2019-05-18
softmax\minFunc, 0 , 2019-05-18
softmax, 0 , 2019-05-18

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  • STTD
    THIS matlab code is STTD
    2009-05-25 13:26:57下载
    积分:1
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    This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
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    积分:1
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