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DeepLearnToolbox-master

于 2021-04-29 发布 文件大小:28778KB
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代码说明:

  这是关于深度学习的一些很重要的代码 包括基础的深度学习 RBM等,还有用深度学习去训练神经网络等等(This is about the depth of learning, including some very important code based on the depth of learning RBM, as well as by the depth of learning to train the neural network, etc.)

文件列表:

DeepLearnToolbox-master
.......................\.travis.yml,249,2014-01-12
.......................\CAE
.......................\...\caeapplygrads.m,1219,2014-01-12
.......................\...\caebbp.m,917,2014-01-12
.......................\...\caebp.m,1011,2014-01-12
.......................\...\caedown.m,259,2014-01-12
.......................\...\caeexamples.m,754,2014-01-12
.......................\...\caenumgradcheck.m,3618,2014-01-12
.......................\...\caesdlm.m,845,2014-01-12
.......................\...\caetrain.m,1148,2014-01-12
.......................\...\caeup.m,489,2014-01-12
.......................\...\max3d.m,173,2014-01-12
.......................\...\scaesetup.m,1937,2014-01-12
.......................\...\scaetrain.m,270,2014-01-12
.......................\CNN
.......................\...\cnnapplygrads.m,575,2014-01-12
.......................\...\cnnbp.m,2141,2014-01-12
.......................\...\cnnff.m,1774,2014-01-12
.......................\...\cnnnumgradcheck.m,3430,2014-01-12
.......................\...\cnnsetup.m,2020,2014-01-12
.......................\...\cnntest.m,193,2014-01-12
.......................\...\cnntrain.m,845,2014-01-12
.......................\CONTRIBUTING.md,544,2014-01-12
.......................\create_readme.sh,744,2014-01-12
.......................\data
.......................\....\DBN
.......................\....\...\dbnsetup.m,629,2014-02-24
.......................\....\...\dbntrain.m,246,2014-02-24
.......................\....\...\dbnunfoldtonn.m,425,2014-01-12
.......................\....\...\rbmdown.m,90,2014-01-12
.......................\....\...\rbmtrain.m,1517,2014-02-24
.......................\....\...\rbmup.m,89,2014-01-12
.......................\....\mnist_uint8.mat,14735220,2014-01-12
.......................\htm" target=_blank>LICENSE,1313,2014-01-12
.......................\NN
.......................\..\nnapplygrads.m,628,2014-01-12
.......................\..\nnbp.m,1638,2014-01-12
.......................\..\nnchecknumgrad.m,704,2014-01-12
.......................\..\nneval.m,772,2014-01-12
.......................\..\nnff.m,1849,2014-01-12
.......................\..\nnpredict.m,188,2014-01-12
.......................\..\nnsetup.m,1844,2014-01-12
.......................\..\nntest.m,180,2014-01-12
.......................\..\nntrain.m,2414,2014-01-12
.......................\..\nnupdatefigures.m,1858,2014-01-12
.......................\README.md,8730,2014-01-12
.......................\README_header.md,2256,2014-01-12
.......................\REFS.md,950,2014-01-12
.......................\SAE
.......................\...\saesetup.m,132,2014-01-12
.......................\...\saetrain.m,308,2014-01-12
.......................\tests
.......................\.....\mnist_uint8.mat,14735220,2014-01-12
.......................\.....\runalltests.m,165,2014-01-12
.......................\.....\test_cnn_gradients_are_numerically_correct.m,552,2014-01-12
.......................\.....\test_example_CNN.m,981,2014-01-12
.......................\.....\test_example_DBN.m,1174,2014-02-24
.......................\.....\test_example_NN.m,3247,2014-01-12
.......................\.....\test_example_SAE.m,934,2014-01-12
.......................\.....\test_nn_gradients_are_numerically_correct.m,749,2014-01-12
.......................\util
.......................\....\allcomb.m,2618,2014-01-12
.......................\....\expand.m,1958,2014-01-12
.......................\....\flicker.m,208,2014-01-12
.......................\....\flipall.m,80,2014-01-12
.......................\....\fliplrf.m,543,2014-01-12
.......................\....\flipudf.m,576,2014-01-12
.......................\....\im2patches.m,313,2014-01-12
.......................\....\isOctave.m,108,2014-01-12
.......................\....\makeLMfilters.m,1895,2014-01-12
.......................\....\myOctaveVersion.m,169,2014-01-12
.......................\....\normalize.m,97,2014-01-12
.......................\....\patches2im.m,242,2014-01-12
.......................\....\randcorr.m,283,2014-01-12
.......................\....\randp.m,2083,2014-01-12
.......................\....\rnd.m,49,2014-01-12
.......................\....\sigm.m,48,2014-01-12
.......................\....\sigmrnd.m,126,2014-01-12
.......................\....\softmax.m,256,2014-01-12
.......................\....\tanh_opt.m,54,2014-01-12
.......................\....\visualize.m,1072,2014-01-12
.......................\....\whiten.m,183,2014-01-12
.......................\....\zscore.m,137,2014-01-12

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  • Short_term_energy_and_zero_crossing_rate
    短时能量与过零率,别人写的,好像是可以用的,大家试试啊(Short-term energy and zero-crossing rate, someone else wrote.maybe it can be used, please try it .)
    2009-03-20 00:34:33下载
    积分:1
  • OFDM_ML_Sync_program
    OFDM系统ML同步算法仿真,可以直接跑.(ML synchronization algorithm for OFDM system simulation,can be directly run.)
    2009-12-02 16:56:56下载
    积分:1
  • 14.3-5
    说明:  《MATLAB时频分析技术》例题matlab编程实现第十四章14.3-14.5(err)
    2008-09-23 15:34:08下载
    积分:1
  • OFDMshiyu
    非常完美的OFDM程序,已经在MATLAB验证过,完全能用!!!(Perfect OFDM program has been validated in MATLAB, can be used completely! ! !)
    2013-05-15 20:54:18下载
    积分:1
  • New
    Standard MCM communications system
    2010-08-10 20:06:05下载
    积分:1
  • chengxu
    该文件是前推回代法程序,只要是解决潮流计算,可以更有效达到预期的效果,希望可以给广大朋友起到一定的帮助。(The document is the forward backward substitution method procedures, so long as to solve the power flow calculation, can be more 有效 desired for Xiao Guo, hope to play some of Ji majority of friends to help.)
    2010-06-02 18:20:00下载
    积分:1
  • RESINVM3D
    RESINVM3D is a MATLAB package for inverting 3D Dc Resistivity and Electrical Resistivity Tomography data. The Package contains 35m files along with two demonstration data sets. Copyright (c) 2007 by the Society of Exploration Geophysicists. For more information, go to http://software.seg.org/2007/0001 . You must read and accept usage terms at: http://software.seg.org/disclaimer.txt before use.
    2014-08-19 19:39:14下载
    积分:1
  • MySvm
    SVM的实现,采用了SMO算法,用C语言结合matlab接口实现,可在matlab下运行。如果是64位的系统,可在matlab下重新同met.(SVM with SMO)
    2013-12-25 21:59:25下载
    积分:1
  • MatlabNEURALNETWORK
    Matlab神经网络工具箱应用简介,XIWANGYOUYONG(About Matlab neural network toolbox application)
    2010-08-16 19:56:21下载
    积分:1
  • rungekuta
    使用4阶龙格库塔以及样条函数分析处理数据(The use of four order runge kutta and spline function analysis data)
    2013-12-02 19:38:16下载
    积分:1
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