CDN加速镜像 | 设为首页 | 加入收藏夹
登陆 | 会员注册
当前位置： 首页 资源下载 源码下载 数值算法/人工智能 matlab例程
收藏

文件名称:机器学习算法matlab实现

  • 所属分类：
    matlab例程
  • 标签属性：
    [Matlab] [源码]
  • 上传时间：
    2018-07-27
  • 文件大小：
    70.91kb
  • 已下载：
    1次
  • 提 供 者：
    sirius0518
  • 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！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

KMeans、EM、KNN等分类和聚类算法
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : MachineLearning-matlab.zip 列表
MachineLearning-master/
MachineLearning-master/Adaboost/
MachineLearning-master/Adaboost/README.md
MachineLearning-master/Adaboost/adaboost.py
MachineLearning-master/Adaboost/testAdaboost.py
MachineLearning-master/Decision-Tree/
MachineLearning-master/Decision-Tree/README.md
MachineLearning-master/Decision-Tree/TestTree.py
MachineLearning-master/Decision-Tree/Tree.py
MachineLearning-master/DeepLearning/
MachineLearning-master/DeepLearning/CNN_cifar-10/
MachineLearning-master/DeepLearning/CNN_cifar-10/cifar.py
MachineLearning-master/DeepLearning/CNN_mnist/
MachineLearning-master/DeepLearning/CNN_mnist/cnn.py
MachineLearning-master/DeepLearning/CNN_mnist/data.py
MachineLearning-master/DeepLearning/CNN_mnist/trainCNN.py
MachineLearning-master/DeepLearning/UFLDL/
MachineLearning-master/DeepLearning/UFLDL/Vectorization_sparseae_exercise/
MachineLearning-master/DeepLearning/UFLDL/Vectorization_sparseae_exercise/checkNumericalGradient.m
MachineLearning-master/DeepLearning/UFLDL/Vectorization_sparseae_exercise/computeNumericalGradient.m
MachineLearning-master/DeepLearning/UFLDL/Vectorization_sparseae_exercise/display_network.m
MachineLearning-master/DeepLearning/UFLDL/Vectorization_sparseae_exercise/initializeParameters.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/display_network.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/feedForwardAutoencoder.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/initializeParameters.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/loadMNISTImages.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/loadMNISTLabels.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/softmaxCost.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/softmaxPredict.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/softmaxTrain.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/sparseAutoencoderCost.m
MachineLearning-master/DeepLearning/UFLDL/stl_exercise/stlExercise.m
MachineLearning-master/GMM/
MachineLearning-master/GMM/README.md
MachineLearning-master/GMM/gmm.m
MachineLearning-master/GMM/gmm.py
MachineLearning-master/GMM/testGMM.m
MachineLearning-master/GMM/testSet.txt
MachineLearning-master/KNN/
MachineLearning-master/KNN/KNN.m
MachineLearning-master/KNN/KNN.py
MachineLearning-master/KNN/KNNdatgingTest.m
MachineLearning-master/KNN/README.md
MachineLearning-master/KNN/datingTestSet2.txt
MachineLearning-master/KNN/handWritingTest.m
MachineLearning-master/Kmeans/
MachineLearning-master/Kmeans/README.md
MachineLearning-master/Kmeans/distEclud.m
MachineLearning-master/Kmeans/kMeans.m
MachineLearning-master/Kmeans/testSet.txt
MachineLearning-master/Kmeans/testkMeans.m
MachineLearning-master/Logistic-regression/
MachineLearning-master/Logistic-regression/ImproveStocGradAscent.m
MachineLearning-master/Logistic-regression/README.md
MachineLearning-master/Logistic-regression/gradAscent.m
MachineLearning-master/Logistic-regression/stocGradAscent.m
MachineLearning-master/Logistic-regression/testSet.txt
MachineLearning-master/MLP/
MachineLearning-master/MLP/dualperceptron.py
MachineLearning-master/MLP/perceptron.py
MachineLearning-master/MLP/testSet.txt
MachineLearning-master/PCA/
MachineLearning-master/PCA/PCA.m
MachineLearning-master/PCA/README.md
MachineLearning-master/PCA/testPCA.m
MachineLearning-master/PCA/testSet.txt
MachineLearning-master/README.md
MachineLearning-master/bikMeans/
MachineLearning-master/bikMeans/README.md
MachineLearning-master/bikMeans/bikMeans.m
MachineLearning-master/bikMeans/testSet.txt
MachineLearning-master/kalmanFilter/
MachineLearning-master/kalmanFilter/KF.m
MachineLearning-master/kalmanFilter/kalmanFiltering.m

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 搜珍网是交换下载平台，只提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。更多...
  • 本站已设置防盗链，请勿用迅雷、QQ旋风等下载软件下载资源，下载后用WinRAR最新版进行解压.
  • 如果您发现内容无法下载，请稍后再次尝试；或换浏览器；或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
  • 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
查看所有评论

相关评论

暂无评论内容．

发表评论

*快速评论： 推荐 一般 有密码 和说明不符 不是源码或资料 文件不全 不能解压 纯粹是垃圾
*内　　容：
*验 证 码：
搜珍网 www.dssz.com