多元逻辑斯蒂回归matlab代码-Machine-Learning-Coursera:我在Coursera上的机器学习课程代码 （127个子文件） 
loadjson.m 18KB loadjson.m 18KB loadjson.m 18KB loadjson.m 18KB savejson.m 17KB savejson.m 17KB savejson.m 17KB savejson.m 17KB saveubjson.m 16KB saveubjson.m 16KB saveubjson.m 16KB saveubjson.m 16KB loadubjson.m 15KB loadubjson.m 15KB loadubjson.m 15KB loadubjson.m 15KB fmincg.m 9KB fmincg.m 9KB ex4.m 8KB submitWithConfiguration.m 5KB submitWithConfiguration.m 5KB submitWithConfiguration.m 5KB submitWithConfiguration.m 5KB ex1_multi.m 4KB ex2.m 4KB nnCostFunction.m 4KB ex1.m 4KB ex2_reg.m 4KB ex3_nn.m 3KB ex3.m 3KB oneVsAll.m 2KB lrCostFunction.m 2KB checkNNGradients.m 2KB submit.m 2KB submit.m 2KB submit.m 2KB submit.m 2KB predictOneVsAll.m 1KB displayData.m 1KB displayData.m 1KB plotDecisionBoundary.m 1KB featureNormalize.m 1KB predict.m 1KB makeValidFieldName.m 1KB makeValidFieldName.m 1KB makeValidFieldName.m 1KB makeValidFieldName.m 1KB costFunction.m 1KB randInitializeWeights.m 1KB computeNumericalGradient.m 1KB varargin2struct.m 1KB varargin2struct.m 1KB varargin2struct.m 1KB varargin2struct.m 1KB gradientDescentMulti.m 1KB costFunctionReg.m 1KB plotData.m 986B gradientDescent.m 967B jsonopt.m 881B jsonopt.m 881B jsonopt.m 881B jsonopt.m 881B debugInitializeWeights.m 841B predict.m 818B plotData.m 781B mergestruct.m 771B mergestruct.m 771B mergestruct.m 771B mergestruct.m 771B computeCostMulti.m 715B sigmoidGradient.m 703B computeCost.m 676B normalEqn.m 675B predict.m 585B warmUpExercise.m 520B mapFeature.m 508B sigmoid.m 454B sigmoid.m 137B sigmoid.m 137B ex4data1.mat 7.16MB ex3data1.mat 7.16MB ex4weights.mat 78KB ex3weights.mat 78KB token.mat 262B token.mat 262B token.mat 262B token.mat 262B 05 Neural Networks.md 3KB 00 Introduction.md 3KB 04 Regularization.md 2KB 03 Logistic Regression.md 2KB 02 Multivariate Linear Regression.md 2KB README.md 1KB 01 Linear Regression with One Variable.md 1KB
Lecture8.pdf 4.97MB Lecture9.pdf 3.39MB Lecture7.pdf 3.23MB Lecture2.pdf 2.88MB Lecture6.pdf 2.12MB Lecture3.pdf 1.8MB共 127 条
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