CNNSVM-master

所属分类人工智能/神经网络/深度学习
开发工具:matlab
文件大小:17684KB
下载次数:246
上传日期:2016-03-31 15:12:54
上 传 者搁浅军
说明:  先利用卷及神经网络提取数据特征,再加svm进行分类
(The first use of volume and neural network feature extraction data, together with the classification svm)

文件列表
CNNSVM-master
CNNSVM-master\.gitattributes
CNNSVM-master\.gitignore
CNNSVM-master\CNNSVM
CNNSVM-master\CNNSVM\CNN.m
CNNSVM-master\CNNSVM\CNNSVM.m
CNNSVM-master\CNNSVM\Readme.md
CNNSVM-master\CNNSVM\cnn-model
CNNSVM-master\CNNSVM\cnn-model\epoch10.mat
CNNSVM-master\CNNSVM\cnn-model\readme.txt
CNNSVM-master\CNNSVM\cnn
CNNSVM-master\CNNSVM\cnn\cnnapplygrads.m
CNNSVM-master\CNNSVM\cnn\cnnbp.m
CNNSVM-master\CNNSVM\cnn\cnnff.m
CNNSVM-master\CNNSVM\cnn\cnnnumgradcheck.m
CNNSVM-master\CNNSVM\cnn\cnnsetup.m
CNNSVM-master\CNNSVM\cnn\cnntest.m
CNNSVM-master\CNNSVM\cnn\cnntrain.m
CNNSVM-master\CNNSVM\cnn\test_example_CNN.m
CNNSVM-master\CNNSVM\cnn_predict.m
CNNSVM-master\CNNSVM\data
CNNSVM-master\CNNSVM\data\mnist_uint8.mat
CNNSVM-master\CNNSVM\epoch_by_epoch.m
CNNSVM-master\CNNSVM\feat-code
CNNSVM-master\CNNSVM\feat-code\compute_feature_dim.m
CNNSVM-master\CNNSVM\feat-code\compute_features.m
CNNSVM-master\CNNSVM\feat-code\compute_gradient.m
CNNSVM-master\CNNSVM\feat-code\compute_gradient_features.m
CNNSVM-master\CNNSVM\feat-code\compute_gradient_features.m~
CNNSVM-master\CNNSVM\feat-code\compute_sphog_features.m
CNNSVM-master\CNNSVM\feat-code\concat_features.m
CNNSVM-master\CNNSVM\feat-code\cumsum2D.m
CNNSVM-master\CNNSVM\feat-code\get_sampling_grid.m
CNNSVM-master\CNNSVM\feat-code\normalize_response.m
CNNSVM-master\CNNSVM\generate_cnn_feature.m
CNNSVM-master\CNNSVM\svm
CNNSVM-master\CNNSVM\svm\Makefile
CNNSVM-master\CNNSVM\svm\README
CNNSVM-master\CNNSVM\svm\display_images.m
CNNSVM-master\CNNSVM\svm\libsvmread.c
CNNSVM-master\CNNSVM\svm\libsvmread.mexw64
CNNSVM-master\CNNSVM\svm\libsvmwrite.c
CNNSVM-master\CNNSVM\svm\libsvmwrite.mexw64
CNNSVM-master\CNNSVM\svm\make.m
CNNSVM-master\CNNSVM\svm\normalize_data.m
CNNSVM-master\CNNSVM\svm\read_data.m
CNNSVM-master\CNNSVM\svm\svm_model_matlab.c
CNNSVM-master\CNNSVM\svm\svm_model_matlab.h
CNNSVM-master\CNNSVM\svm\svmpredict.c
CNNSVM-master\CNNSVM\svm\svmpredict.mexw64
CNNSVM-master\CNNSVM\svm\svmtrain.c
CNNSVM-master\CNNSVM\svm\svmtrain.mexw64
CNNSVM-master\CNNSVM\svmmnistfea.m
CNNSVM-master\CNNSVM\util
CNNSVM-master\CNNSVM\util\allcomb.m
CNNSVM-master\CNNSVM\util\expand.m
CNNSVM-master\CNNSVM\util\flicker.m
CNNSVM-master\CNNSVM\util\flipall.m
CNNSVM-master\CNNSVM\util\fliplrf.m
CNNSVM-master\CNNSVM\util\flipudf.m
CNNSVM-master\CNNSVM\util\im2patches.m
CNNSVM-master\CNNSVM\util\isOctave.m
CNNSVM-master\CNNSVM\util\makeLMfilters.m
CNNSVM-master\CNNSVM\util\myOctaveVersion.m
CNNSVM-master\CNNSVM\util\normalize.m
CNNSVM-master\CNNSVM\util\patches2im.m
CNNSVM-master\CNNSVM\util\randcorr.m
CNNSVM-master\CNNSVM\util\randp.m
CNNSVM-master\CNNSVM\util\rnd.m
CNNSVM-master\CNNSVM\util\sigm.m
CNNSVM-master\CNNSVM\util\sigmrnd.m
CNNSVM-master\CNNSVM\util\softmax.m
CNNSVM-master\CNNSVM\util\tanh_opt.m
CNNSVM-master\CNNSVM\util\visualize.m
CNNSVM-master\CNNSVM\util\whiten.m
CNNSVM-master\CNNSVM\util\zscore.m

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