文件名称:MachineLearning-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2017-05-11
- 文件大小：
- 1.38mb
- 下载次数：
- 0次
- 提 供 者：
- xin***
- 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
一些常见的机器学习算法的实现代码。包括PCA、kNN、logistic regression、ManifoldLearning、SVM、GMM等-Some common machine learning algorithm implementation code. Including PCA, kNN, logistic regression, ManifoldLearning, SVM, GMM, 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
......................\...\......