文件名称:Deep-Learning-Toolbox
- 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：
- 2014-10-20
- 文件大小：
- 14.06mb
- 下载次数：
- 1次
- 提 供 者：
- 冯**
- 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,包括深度deep belief nets,stacked autoencoder,convolutional neural nets等网络。-Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
(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
.......................\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
.......................\...\cnntest.m
.......................\...\cnntrain.m
.......................\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
.......................\....\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