matlab代码实现深度学习工具箱我要分享

Deep learning toolbox based on MATLAB code

site:www.pudn.com CNN-DBN 深度学习 DBN-matlab CNN

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下载次数: 2

文件大小: 14.06M

代码分类: 智能算法

开发平台: matlab

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代码描述

中文说明: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。


English Description:

Matlab program of deep learning toolbox, including NN, CNN, CAE, SAE, DBN and other deep learning algorithms.


代码预览

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

.......................\create_readme.sh

.......................\data

.......................\....\mnist_uint8.mat

.......................\DBN

.......................\...\dbnsetup.m

.......................\...\dbntrain.m

.......................\...\dbnunfoldtonn.m

.......................\...\rbmdown.m

.......................\...\rbmtrain.m

.......................\...\rbmup.m

.......................\htm" target=_blank>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

.......................\....\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