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DeepLearnToolbox-master

于 2020-10-12 发布 文件大小:14406KB
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下载积分: 1 下载次数: 156

代码说明:

  基于matlab的深度学习算法,可用于深度学习入门(Based on the depth of learning matlab algorithm can be used for deep learning, such as doors)

文件列表:

DeepLearnToolbox-master
.......................\.travis.yml,249,2015-12-01
.......................\CAE
.......................\...\caeapplygrads.m,1219,2015-12-01
.......................\...\caebbp.m,917,2015-12-01
.......................\...\caebp.m,1011,2015-12-01
.......................\...\caedown.m,259,2015-12-01
.......................\...\caeexamples.m,754,2015-12-01
.......................\...\caenumgradcheck.m,3618,2015-12-01
.......................\...\caesdlm.m,845,2015-12-01
.......................\...\caetrain.m,1148,2015-12-01
.......................\...\caeup.m,489,2015-12-01
.......................\...\max3d.m,173,2015-12-01
.......................\...\scaesetup.m,1937,2015-12-01
.......................\...\scaetrain.m,270,2015-12-01
.......................\CNN
.......................\...\cnnapplygrads.m,575,2015-12-01
.......................\...\cnnbp.m,2141,2015-12-01
.......................\...\cnnff.m,1774,2015-12-01
.......................\...\cnnnumgradcheck.m,3430,2015-12-01
.......................\...\cnnsetup.m,2020,2015-12-01
.......................\...\cnntest.m,193,2015-12-01
.......................\...\cnntrain.m,845,2015-12-01
.......................\CONTRIBUTING.md,544,2015-12-01
.......................\create_readme.sh,744,2015-12-01
.......................\data
.......................\....\mnist_uint8.mat,14735220,2015-12-01
.......................\DBN
.......................\...\dbnsetup.m,557,2015-12-01
.......................\...\dbntrain.m,232,2015-12-01
.......................\...\dbnunfoldtonn.m,425,2015-12-01
.......................\...\rbmdown.m,90,2015-12-01
.......................\...\rbmtrain.m,1401,2015-12-01
.......................\...\rbmup.m,89,2015-12-01
.......................\htm" target=_blank>LICENSE,1313,2015-12-01
.......................\NN
.......................\..\nnapplygrads.m,628,2015-12-01
.......................\..\nnbp.m,1638,2015-12-01
.......................\..\nnchecknumgrad.m,704,2015-12-01
.......................\..\nneval.m,811,2015-12-01
.......................\..\nnff.m,1849,2015-12-01
.......................\..\nnpredict.m,192,2015-12-01
.......................\..\nnsetup.m,1844,2015-12-01
.......................\..\nntest.m,184,2015-12-01
.......................\..\nntrain.m,2414,2015-12-01
.......................\..\nnupdatefigures.m,1858,2015-12-01
.......................\README.md,8861,2015-12-01
.......................\README_header.md,2244,2015-12-01
.......................\REFS.md,950,2015-12-01
.......................\SAE
.......................\...\saesetup.m,132,2015-12-01
.......................\...\saetrain.m,308,2015-12-01
.......................\tests
.......................\.....\runalltests.m,165,2015-12-01
.......................\.....\test_cnn_gradients_are_numerically_correct.m,552,2015-12-01
.......................\.....\test_example_CNN.m,981,2015-12-01
.......................\.....\test_example_DBN.m,1031,2015-12-01
.......................\.....\test_example_NN.m,3247,2015-12-01
.......................\.....\test_example_SAE.m,934,2015-12-01
.......................\.....\test_nn_gradients_are_numerically_correct.m,749,2015-12-01
.......................\util
.......................\....\allcomb.m,2618,2015-12-01
.......................\....\expand.m,1958,2015-12-01
.......................\....\flicker.m,208,2015-12-01
.......................\....\flipall.m,80,2015-12-01
.......................\....\fliplrf.m,543,2015-12-01
.......................\....\flipudf.m,576,2015-12-01
.......................\....\im2patches.m,313,2015-12-01
.......................\....\isOctave.m,108,2015-12-01
.......................\....\makeLMfilters.m,1895,2015-12-01
.......................\....\myOctaveVersion.m,169,2015-12-01
.......................\....\normalize.m,97,2015-12-01
.......................\....\patches2im.m,242,2015-12-01
.......................\....\randcorr.m,283,2015-12-01
.......................\....\randp.m,2083,2015-12-01
.......................\....\rnd.m,49,2015-12-01
.......................\....\sigm.m,48,2015-12-01
.......................\....\sigmrnd.m,126,2015-12-01
.......................\....\softmax.m,256,2015-12-01
.......................\....\tanh_opt.m,54,2015-12-01
.......................\....\visualize.m,1072,2015-12-01
.......................\....\whiten.m,183,2015-12-01
.......................\....\zscore.m,137,2015-12-01

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  • main
    车用的轮速处理源代码,很好用,有滤波方法(EBD)
    2010-06-03 22:42:24下载
    积分:1
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    matlab小波应用命名全集,方便matlab使用者查看使用。(Collection name matlab wavelet applications to facilitate the use of matlab users to view.)
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    积分:1
  • shuzishuiyin
    数字水印源码,基于matlab的,可实现,共同分享。(Digital watermarking source code, based on the matlab can be realized.)
    2013-07-18 00:50:08下载
    积分:1
  • 1
    说明:  Kalman算法迭代时对输入信号的跟踪曲线(Kalman algorithm is iterative when the input signal of the tracking curve of)
    2009-11-15 16:44:41下载
    积分:1
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    说明:  数字pid控制仿真,包括位置式pid算法和增量式算法(figures pid control simulation, including location-pid algorithm and incremental algorithm)
    2005-12-05 22:36:07下载
    积分:1
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    风机 直驱永磁同步风力发电机 最大功率跟踪 自己搭的永磁发电机模型(Fan Direct-drive permanent magnet synchronous wind turbine Maximum power tracking Self-rigid permanent magnet generator model Suitable for beginners to learn)
    2020-12-10 17:29:19下载
    积分:1
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    本程序模拟光的干涉现象:杨氏双缝干涉,劈尖干涉和牛顿环干涉,并计算光的光强分布,另外,附有相应的仿真图(MATLAB for three types of interference of light and calculate the intensity of the and have corresponding figures)
    2010-08-11 20:56:47下载
    积分:1
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    MATLAB image RAW format
    2010-02-22 18:35:46下载
    积分:1
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    2010-04-29 13:01:51下载
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    matlab 学习资料 第四章 matlab 绘图(Chapter IV of learning materials matlab mapping matlab)
    2009-05-23 12:43:03下载
    积分:1
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