文件名称:1DeepLearnToolbox-master
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-12-17
- 文件大小：
- 14.07mb
- 下载次数：
- 0次
- 提 供 者：
- 沈**
- 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
深度学习matlab工具箱，已经测试通过的源码，可以应用在图像识别、模式识别、语音识别等领域-Deep learning matlab source code, which can be applied in graph identification, pattern recognition and sound recognition
(系统自动生成,下载前可以参看下载内容)
下载文件列表
1DeepLearnToolbox-master\.travis.yml
........................\CAE\caeapplygrads.m
........................\...\caebbp.m
........................\...\caebp.m
........................\...\caedown.m
........................\...\caeexamples.m
........................\...\caenumgradcheck.m
........................\...\caesdlm.m
........................\...\caetrain.m
........................\...\caeup.m
........................\...\max3d.m
........................\...\scaesetup.m
........................\...\scaetrain.m
........................\.NN\cnnapplygrads.m
........................\...\cnnbp.m
........................\...\cnnff.m
........................\...\cnnnumgradcheck.m
........................\...\cnnsetup.m
........................\...\cnntest.m
........................\...\cnntrain.m
........................\CONTRIBUTING.md
........................\create_readme.sh
........................\data\mnist_uint8.mat
........................\DBN\dbnsetup.m
........................\...\dbntrain.m
........................\...\dbnunfoldtonn.m
........................\...\rbmdown.m
........................\...\rbmtrain.m
........................\...\rbmup.m
........................\LICENSE
........................\NN\nnapplygrads.m
........................\..\nnbp.m
........................\..\nnchecknumgrad.m
........................\..\nneval.m
........................\..\nnff.m
........................\..\nnpredict.m
........................\..\nnsetup.m
........................\..\nntest.m
........................\..\nntrain.m
........................\..\nnupdatefigures.m
........................\README.md
........................\README_header.md
........................\REFS.md
........................\SAE\saesetup.m
........................\...\saetrain.m
........................\tests\runalltests.m
........................\.....\test_cnn_gradients_are_numerically_correct.m
........................\.....\test_example_CNN.m
........................\.....\test_example_DBN.m
........................\.....\test_example_NN.m
........................\.....\test_example_SAE.m
........................\.....\test_nn_gradients_are_numerically_correct.m
........................\util\allcomb.m
........................\....\expand.m
........................\....\flicker.m
........................\....\flipall.m
........................\....\fliplrf.m
........................\....\flipudf.m
........................\....\im2patches.m
........................\....\isOctave.m
........................\....\makeLMfilters.m
........................\....\myOctaveVersion.m
........................\....\normalize.m
........................\....\patches2im.m
........................\....\randcorr.m
........................\....\randp.m
........................\....\rnd.m
........................\....\sigm.m
........................\....\sigmrnd.m
........................\....\softmax.m
........................\....\tanh_opt.m
........................\....\visualize.m
........................\....\whiten.m
........................\....\zscore.m
........................\CAE
........................\CNN
........................\data
........................\DBN
........................\NN
........................\SAE
........................\tests
........................\util
1DeepLearnToolbox-master