文件名称:斯坦福2014机器学习课程源代码

介绍说明--下载内容均来自于网络,请自行研究使用

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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