文件名称:DeepLearnToolbox
- 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:
- 2017-02-28
- 文件大小:
- 28.37mb
- 下载次数:
- 0次
- 提 供 者:
- 李*
- 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
matlab深度学习工具箱,有CNN DBN SAE多种模型,值得拥有!-Matlab depth learning toolbox, there are a variety of models of CNN DBN SAE, worth having!
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DeepLearnToolbox\.git\config
................\....\description
................\....\HEAD
................\....\hooks\applypatch-msg.sample
................\....\.....\commit-msg.sample
................\....\.....\post-update.sample
................\....\.....\pre-applypatch.sample
................\....\.....\pre-commit.sample
................\....\.....\pre-push.sample
................\....\.....\pre-rebase.sample
................\....\.....\prepare-commit-msg.sample
................\....\.....\update.sample
................\....\index
................\....\..fo\exclude
................\....\logs\HEAD
................\....\....\refs\heads\master
................\....\....\....\remotes\origin\HEAD
................\....\objects\pack\pack-7eff8eb51dc83c666d6a2c7b705926a3998ed220.idx
................\....\.......\....\pack-7eff8eb51dc83c666d6a2c7b705926a3998ed220.pack
................\....\packed-refs
................\....\refs\heads\master
................\....\....\remotes\origin\HEAD
................\.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
................\.git\logs\refs\remotes\origin
................\....\....\....\heads
................\....\....\....\remotes
................\....\refs\remotes\origin