文件名称:DeepLearnToolbox-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-07-10
- 文件大小：
- 14.06mb
- 下载次数：
- 1次
- 提 供 者：
- Jea***
- 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
深度学习工具箱的matlab程序，包括NN,CNN,CAE,SAE,DBN等多种深度学习算法。
-It s a deep learning toolbox of matlab, including NN, CNN, CAE, SAE, DBN and other deep learning algorithms.
-It s a deep learning toolbox of matlab, including NN, CNN, CAE, SAE, DBN and other deep learning algorithms.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DeepLearnToolbox-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
.......................\CNN
.......................\...\cnnapplygrads.m
.......................\...\cnnbp.m
.......................\...\cnnff.m
.......................\...\cnnnumgradcheck.m
.......................\...\cnnsetup.m
.......................\...\cnnsetup.m.bak
.......................\...\cnntest.m
.......................\...\cnntrain.m
.......................\CONTRIBUTING.md
.......................\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
.......................\create_readme.sh
.......................\data
.......................\....\mnist_uint8.mat
.......................\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
.......................\....\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