文件名称:DeepLearnToolbox

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2015-11-07
  • 文件大小:
  • 28.1mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 王*
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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DeepLearnToolbox 深度学习 matlab工具-DeepLearnToolbox deep learning matlab tool
(系统自动生成,下载前可以参看下载内容)

下载文件列表





DeepLearnToolbox\.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\mnist_uint8.mat

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

................\CAE

................\CNN

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

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

................\NN

................\SAE

................\tests

................\util

DeepLearnToolbox

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