文件名称:coursera--Assignment-answers
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2017-05-06
- 文件大小：
- 28.9mb
- 下载次数：
- 1次
- 提 供 者：
- 马**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
机器学习入门级算法，机器学习课堂答案全套。包括牛顿方法，生成学习算法，贝叶斯统计正则化，奇异值分解算法等- U673A u5686 u5B06 u5E6 u5E2 u5E2 u2113 u7E1 u7B97 u6CD5 uFF0C u673A u5668 u5B66 u4E60 u8BFE u5802 u7B54 u6848 u5167 U65B9 u5c2 u53F3 u651F u7Bc R U6CD5 u7B49
(系统自动生成,下载前可以参看下载内容)
下载文件列表
machine-learning-ex1
....................\ex1
....................\ex1.pdf
....................\...\computeCost.m
....................\...\computeCostMulti.m
....................\...\ex1.m
....................\...\ex1data1.txt
....................\...\ex1data2.txt
....................\...\ex1_multi.m
....................\...\featureNormalize.m
....................\...\gradientDescent.m
....................\...\gradientDescentMulti.m
....................\...\lib
....................\...\...\jsonlab
....................\...\...\.......\AUTHORS.txt
....................\...\...\.......\ChangeLog.txt
....................\...\...\.......\jsonopt.m
....................\...\...\.......\LICENSE_BSD.txt
....................\...\...\.......\loadjson.m
....................\...\...\.......\loadubjson.m
....................\...\...\.......\mergestruct.m
....................\...\...\.......\README.txt
....................\...\...\.......\savejson.m
....................\...\...\.......\saveubjson.m
....................\...\...\.......\varargin2struct.m
....................\...\...\makeValidFieldName.m
....................\...\...\submitWithConfiguration.m
....................\...\normalEqn.m
....................\...\plotData.m
....................\...\submit.m
....................\...\token.mat
....................\...\warmUpExercise.m
machine-learning-ex2
....................\ex2
....................\ex2.pdf
....................\...\costFunction.m
....................\...\costFunctionReg.m
....................\...\ex2.m
....................\...\ex2data1.txt
....................\...\ex2data2.txt
....................\...\ex2_reg.m
....................\...\lib
....................\...\...\jsonlab
....................\...\...\.......\AUTHORS.txt
....................\...\...\.......\ChangeLog.txt
....................\...\...\.......\jsonopt.m
....................\...\...\.......\LICENSE_BSD.txt
....................\...\...\.......\loadjson.m
....................\...\...\.......\loadubjson.m
....................\...\...\.......\mergestruct.m
....................\...\...\.......\README.txt
....................\...\...\.......\savejson.m
....................\...\...\.......\saveubjson.m
....................\...\...\.......\varargin2struct.m
....................\...\...\makeValidFieldName.m
....................\...\...\submitWithConfiguration.m
....................\...\mapFeature.m
....................\...\plotData.m
....................\...\plotDecisionBoundary.m
....................\...\predict.m
....................\...\sigmoid.m
....................\...\submit.m
....................\...\token.mat
machine-learning-ex3
....................\ex3
....................\ex3.pdf
....................\...\displayData.m
....................\...\ex3.m
....................\...\ex3data1.mat
....................\...\ex3weights.mat
....................\...\ex3_nn.m
....................\...\fmincg.m
....................\...\lib
....................\...\...\jsonlab
....................\...\...\.......\AUTHORS.txt
....................\...\...\.......\ChangeLog.txt
....................\...\...\.......\jsonopt.m
....................\...\...\.......\LICENSE_BSD.txt
....................\...\...\.......\loadjson.m
....................\...\...\.......\loadubjson.m
....................\...\...\.......\mergestruct.m
....................\...\...\.......\README.txt
....................\...\...\.......\savejson.m
....................\...\...\.......\saveubjson.m
....................\...\...\.......\varargin2struct.m
....................\...\...\makeValidFieldName.m
....................\...\...\submitWithConfiguration.m
....................\...\lrCostFunction.m
....................\...\oneVsAll.m
....................\...\predict.m
....................\...\predictOneVsAll.m
....................\...\sigmoid.m
....................\...\submit.m
....................\...\token.mat
machine-learning-ex4
....................\ex4
....................\ex4.pdf
....................\...\checkNNGradients.m
....................\...\computeNumericalGradient.m
....................\...\