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文件名称:斯坦福2014机器学习课程源代码

介绍说明--下载内容来自于网络,使用问题请自行百度

斯坦福机器学习作业代码,吴恩达教授亲自教学(Standford machine learning)
相关搜索: 机器学习 斯坦福

(系统自动生成,下载前可以参看下载内容)

下载文件列表

mlclass-ex2-jin\costFunction.m
mlclass-ex2-jin\costFunctionReg.m
mlclass-ex2-jin\ex2.m
mlclass-ex2-jin\ex2.pdf
mlclass-ex2-jin\ex2data1.txt
mlclass-ex2-jin\ex2data2.txt
mlclass-ex2-jin\ex2_reg.m
mlclass-ex2-jin\mapFeature.m
mlclass-ex2-jin\plotData.m
mlclass-ex2-jin\plotDecisionBoundary.m
mlclass-ex2-jin\predict.m
mlclass-ex2-jin\sigmoid.m
mlclass-ex2-jin\submit.m
mlclass-ex2-jin\submitWeb.m
mlclass-ex3-jin\displayData.m
mlclass-ex3-jin\ex3.m
mlclass-ex3-jin\ex3.pdf
mlclass-ex3-jin\ex3data1.mat
mlclass-ex3-jin\ex3weights.mat
mlclass-ex3-jin\ex3_nn.m
mlclass-ex3-jin\fmincg.m
mlclass-ex3-jin\lrCostFunction.m
mlclass-ex3-jin\oneVsAll.m
mlclass-ex3-jin\predict.m
mlclass-ex3-jin\predictOneVsAll.m
mlclass-ex3-jin\sigmoid.m
mlclass-ex3-jin\submit.m
mlclass-ex3-jin\submitWeb.m
mlclass-ex4-jin\checkNNGradients.m
mlclass-ex4-jin\computeNumericalGradient.m
mlclass-ex4-jin\debugInitializeWeights.m
mlclass-ex4-jin\displayData.m
mlclass-ex4-jin\ex4.m
mlclass-ex4-jin\ex4.pdf
mlclass-ex4-jin\ex4data1.mat
mlclass-ex4-jin\ex4weights.mat
mlclass-ex4-jin\fmincg.m
mlclass-ex4-jin\nnCostFunction.m
mlclass-ex4-jin\predict.m
mlclass-ex4-jin\randInitializeWeights.m
mlclass-ex4-jin\sigmoid.m
mlclass-ex4-jin\sigmoidGradient.m
mlclass-ex4-jin\submit.m
mlclass-ex4-jin\submitWeb.m
mlclass-ex5-jin\ex5.m
mlclass-ex5-jin\ex5.pdf
mlclass-ex5-jin\ex5data1.mat
mlclass-ex5-jin\featureNormalize.m
mlclass-ex5-jin\fmincg.m
mlclass-ex5-jin\learningCurve.m
mlclass-ex5-jin\linearRegCostFunction.m
mlclass-ex5-jin\plotFit.m
mlclass-ex5-jin\polyFeatures.m
mlclass-ex5-jin\submit.m
mlclass-ex5-jin\submitWeb.m
mlclass-ex5-jin\trainLinearReg.m
mlclass-ex5-jin\validationCurve.m
mlclass-ex6-jin\dataset3Params.m
mlclass-ex6-jin\emailFeatures.m
mlclass-ex6-jin\emailSample1.txt
mlclass-ex6-jin\emailSample2.txt
mlclass-ex6-jin\ex6.m
mlclass-ex6-jin\ex6.pdf
mlclass-ex6-jin\ex6data1.mat
mlclass-ex6-jin\ex6data2.mat
mlclass-ex6-jin\ex6data3.mat
mlclass-ex6-jin\ex6_spam.m
mlclass-ex6-jin\gaussianKernel.m
mlclass-ex6-jin\getVocabList.m
mlclass-ex6-jin\linearKernel.m
mlclass-ex6-jin\plotData.m
mlclass-ex6-jin\porterStemmer.m
mlclass-ex6-jin\processEmail.m
mlclass-ex6-jin\readFile.m
mlclass-ex6-jin\spamSample1.txt
mlclass-ex6-jin\spamSample2.txt
mlclass-ex6-jin\spamTest.mat
mlclass-ex6-jin\spamTrain.mat
mlclass-ex6-jin\submit.m
mlclass-ex6-jin\submitWeb.m
mlclass-ex6-jin\svmPredict.m
mlclass-ex6-jin\svmTrain.m
mlclass-ex6-jin\visualizeBoundary.m
mlclass-ex6-jin\visualizeBoundaryLinear.m
mlclass-ex6-jin\vocab.txt
mlclass-ex7-jin\bird_small.mat
mlclass-ex7-jin\bird_small.png
mlclass-ex7-jin\computeCentroids.m
mlclass-ex7-jin\displayData.m
mlclass-ex7-jin\drawLine.m
mlclass-ex7-jin\ex7.m
mlclass-ex7-jin\ex7.pdf
mlclass-ex7-jin\ex7data1.mat
mlclass-ex7-jin\ex7data2.mat
mlclass-ex7-jin\ex7faces.mat
mlclass-ex7-jin\ex7_pca.m
mlclass-ex7-jin\featureNormalize.m
mlclass-ex7-jin\findClosestCentroids.m
mlclass-ex7-jin\kMeansInitCentroids.m
mlclass-ex7-jin\pca.m

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