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DeepLearnToolbox-master

于 2014-08-25 发布 文件大小:14397KB
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代码说明：

  深度学习matlab工具箱,深度学习初学者有用的入门资料(toolbox of deep learning for matlab)

文件列表：

DeepLearnToolbox-master
.......................\.travis.yml,249,2014-05-11
.......................\CAE
.......................\...\caeapplygrads.m,1219,2014-05-11
.......................\...\caebbp.m,917,2014-05-11
.......................\...\caebp.m,1011,2014-05-11
.......................\...\caedown.m,259,2014-05-11
.......................\...\caeexamples.m,754,2014-05-11
.......................\...\caenumgradcheck.m,3618,2014-05-11
.......................\...\caesdlm.m,845,2014-05-11
.......................\...\caetrain.m,1148,2014-05-11
.......................\...\caeup.m,489,2014-05-11
.......................\...\max3d.m,173,2014-05-11
.......................\...\scaesetup.m,1937,2014-05-11
.......................\...\scaetrain.m,270,2014-05-11
.......................\CNN
.......................\...\cnnapplygrads.m,575,2014-05-11
.......................\...\cnnbp.m,2141,2014-05-11
.......................\...\cnnff.m,1774,2014-05-11
.......................\...\cnnnumgradcheck.m,3430,2014-05-11
.......................\...\cnnsetup.m,2020,2014-05-11
.......................\...\cnntest.m,193,2014-05-11
.......................\...\cnntrain.m,845,2014-05-11
.......................\CONTRIBUTING.md,544,2014-05-11
.......................\create_readme.sh,744,2014-05-11
.......................\data
.......................\....\mnist_uint8.mat,14735220,2014-05-11
.......................\DBN
.......................\...\dbnsetup.m,557,2014-05-11
.......................\...\dbntrain.m,232,2014-05-11
.......................\...\dbnunfoldtonn.m,425,2014-05-11
.......................\...\rbmdown.m,90,2014-05-11
.......................\...\rbmtrain.m,1401,2014-05-11
.......................\...\rbmup.m,89,2014-05-11
.......................\htm" target=_blank>LICENSE,1313,2014-05-11
.......................\NN
.......................\..\nnapplygrads.m,628,2014-05-11
.......................\..\nnbp.m,1638,2014-05-11
.......................\..\nnchecknumgrad.m,704,2014-05-11
.......................\..\nneval.m,811,2014-05-11
.......................\..\nnff.m,1849,2014-05-11
.......................\..\nnpredict.m,192,2014-05-11
.......................\..\nnsetup.m,1844,2014-05-11
.......................\..\nntest.m,184,2014-05-11
.......................\..\nntrain.m,2414,2014-05-11
.......................\..\nnupdatefigures.m,1858,2014-05-11
.......................\README.md,8730,2014-05-11
.......................\README_header.md,2256,2014-05-11
.......................\REFS.md,950,2014-05-11
.......................\SAE
.......................\...\saesetup.m,132,2014-05-11
.......................\...\saetrain.m,308,2014-05-11
.......................\tests
.......................\.....\runalltests.m,165,2014-05-11
.......................\.....\test_cnn_gradients_are_numerically_correct.m,552,2014-05-11
.......................\.....\test_example_CNN.m,981,2014-05-11
.......................\.....\test_example_DBN.m,1031,2014-05-11
.......................\.....\test_example_NN.m,3247,2014-05-11
.......................\.....\test_example_SAE.m,934,2014-05-11
.......................\.....\test_nn_gradients_are_numerically_correct.m,749,2014-05-11
.......................\util
.......................\....\allcomb.m,2618,2014-05-11
.......................\....\expand.m,1958,2014-05-11
.......................\....\flicker.m,208,2014-05-11
.......................\....\flipall.m,80,2014-05-11
.......................\....\fliplrf.m,543,2014-05-11
.......................\....\flipudf.m,576,2014-05-11
.......................\....\im2patches.m,313,2014-05-11
.......................\....\isOctave.m,108,2014-05-11
.......................\....\makeLMfilters.m,1895,2014-05-11
.......................\....\myOctaveVersion.m,169,2014-05-11
.......................\....\normalize.m,97,2014-05-11
.......................\....\patches2im.m,242,2014-05-11
.......................\....\randcorr.m,283,2014-05-11
.......................\....\randp.m,2083,2014-05-11
.......................\....\rnd.m,49,2014-05-11
.......................\....\sigm.m,48,2014-05-11
.......................\....\sigmrnd.m,126,2014-05-11
.......................\....\softmax.m,256,2014-05-11
.......................\....\tanh_opt.m,54,2014-05-11
.......................\....\visualize.m,1072,2014-05-11
.......................\....\whiten.m,183,2014-05-11
.......................\....\zscore.m,137,2014-05-11

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    这个例子里，我们将独立(白噪声)样本通过有5dB通带纹波的切比雪夫滤波器。 试估计滤波器输出端的PSD。实现这一估计的MATLAB程序如下: (This example, we will be independent (white noise) samples through a 5dB passband ripple Chebyshev filter. Estimate the filter output PSD. MATLAB program to achieve this estimate is as follows:)
    2009-10-31 10:27:37下载
    积分：1
  • yimo
    最小二乘自动向量机LSSVM的MATLAB程序实现，用于建立PM2.5污染物与其他污染物（如SO2）关系的数学模型。(Least Squares SVM automatic LSSVM MATLAB program to achieve, for the establishment of PM2.5 pollutants and other contaminants (such as SO2) mathematical model of relations.)
    2015-01-06 16:06:10下载
    积分：1
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    说明：  利用matlab软件实现对于具有一定重叠度的两幅影像（左右影像）进行金字塔算法匹配。(Matlab software for use with a certain overlap of the two images (left image) to the pyramid algorithm is matching.)
    2011-04-10 19:49:18下载
    积分：1
  • IIRxitongxinneng
    本程序通过对IIR滤波器系统级联和并联及系数量化对系统性能的影响(This procedure IIR filter system by cascading and parallel and coefficient quantization on system performance)
    2010-06-02 15:53:45下载
    积分：1
  • pwm-induction-motor
    pwm异步电机启动仿真,仿真波还可以，是用MATLAB来仿真的。(pwm induction motor to start the simulation, the simulation of waves can also use MATLAB to simulate.)
    2012-06-06 15:24:24下载
    积分：1
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    这是2014年在自然杂志上发表的密度峰聚类的代码(This is 2014 in Nature magazine published the density peak clustering code )
    2016-08-04 20:31:37下载
    积分：1
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    This is universal codebook generator with LBG algorithm by myself.
    2010-11-03 20:56:30下载
    积分：1
  • MatchingPursuit
    说明：  匹配跟踪的mallat算法测试 For each signal analyzed, we use [CW]PPursuitTour to present a display that shows the synthesis table used, the residuals from Matching Pursuit, the Compression Numbers, and the phase plane that is generated.(Workouts for Matching Pursuits (Mallat-Zhang) For each signal analyzed, we use [CW]PPursuitTour to present a display that shows the synthesis table used, the residuals from Matching Pursuit, the Compression Numbers, and the phase plane that is generated.)
    2009-08-17 11:23:50下载
    积分：1
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    2012-04-17 13:06:35下载
    积分：1
  • 16-qam
    calculating in matlab 16 qam used in digital communication
    2012-06-17 02:08:58下载
    积分：1
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