文件名称:MachineLearning-wepe

  • 所属分类:
  • 数据挖掘
  • 资源属性:
  • [C/C++] [源码]
  • 上传时间:
  • 2016-11-24
  • 文件大小:
  • 1.38mb
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  • 0次
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  • x**
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MachineLearning-作者wepe 及其学习的实用包

包含决策树,支持向量机,K-MachineLearning- OF wepe and learn practical package contains decision trees, SVM, KNN, etc.
(系统自动生成,下载前可以参看下载内容)

下载文件列表





MachineLearning-master

......................\DecisionTree

......................\............\id3_c45.py

......................\............\readme.md

......................\............\treePlotter.py

......................\DeepLearning Tutorials

......................\......................\FaceRecognition_CNN(olivettifaces)

......................\......................\..................................\olivettifaces.gif

......................\......................\..................................\train_CNN_olivettifaces.py

......................\......................\..................................\use_CNN_olivettifaces.py

......................\......................\Softmax_sgd(or logistic_sgd)

......................\......................\............................\logistic_sgd.py

......................\......................\............................\logistic_sgd_commentate.py

......................\......................\cnn_LeNet

......................\......................\.........\convolutional_mlp.py

......................\......................\.........\convolutional_mlp_commentate.py

......................\......................\dive_into_keras

......................\......................\...............\README.md

......................\......................\...............\cnn-svm.py

......................\......................\...............\cnn.py

......................\......................\...............\data.py

......................\......................\...............\get_feature_map.py

......................\......................\keras_usage

......................\......................\...........\README.md

......................\......................\...........\cnn.py

......................\......................\...........\data.py

......................\......................\mlp

......................\......................\...\mlp.py

......................\......................\...\mlp_with_commentate.py

......................\......................\readme.md

......................\KMeans

......................\......\Readme.md

......................\......\data.pkl

......................\......\kmeans.py

......................\......\test.py

......................\ManifoldLearning

......................\................\DimensionalityReduction_DataVisualizing

......................\................\.......................................\README.md

......................\................\.......................................\data_visualizing.py

......................\NaiveBayes

......................\..........\NaiveBayes.py

......................\..........\README.md

......................\..........\test.py

......................\PCA

......................\...\pca.py

......................\README.md

......................\SVM

......................\...\libsvm liblinear-usage

......................\...\......................\README.md

......................\...\......................\convert.c

......................\...\......................\gen_datafile.py

......................\kNN

......................\...\use Python and NumPy

......................\...\....................\kNN.py

......................\...\....................\readme.txt

......................\...\....................\testDigits

......................\...\....................\..........\0_1.txt

......................\...\....................\..........\0_2.txt

......................\...\....................\..........\0_3.txt

......................\...\....................\..........\0_4.txt

......................\...\....................\..........\0_5.txt

......................\...\....................\..........\1_1.txt

......................\...\....................\..........\1_2.txt

......................\...\....................\..........\1_3.txt

......................\...\....................\..........\1_4.txt

......................\...\....................\..........\1_5.txt

......................\...\....................\..........\2_1.txt

......................\...\......

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