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DeepLearnToolbox-master

于 2021-04-29 发布 文件大小:28778KB
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  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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    自己写的关于粒子群算法求函数最小值的例程，简单易懂，对理解算法有很大帮助(Wrote it myself on the Particle Swarm Optimization for the minimum function of the routine, easy-to-read, to understand the algorithm are very helpful)
    2007-11-23 22:50:25下载
    积分：1
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    2010-10-17 21:37:20下载
    积分：1
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    约170勘探地震资料和测井资料的分析和显示功能（加上他们所谓的支持功能）的设置。这些功能读取和写入标准的SEG - Y格式的地震数据，读取和写入测井在LAS格式2.0（也读3.0 LAS格式），并执行许多通常对这些数据类型进行的操作。他们使用标准化的结构来表示地震数据和测井数据，从而使函数调用的简单串联。(A set of about 170 functions (plus support functions called by them) for analysis and display of exploration-seismic data and well logs. These functions read and write seismic data in standard SEG-Y format, read and write well logs in LAS-format 2.0 (also read LAS-format 3.0), and perform many of the manipulations usually performed on these data types. They use standardized structures to represent seismic data and well data and thus allow simple concatenation of function calls.)
    2011-09-28 16:59:00下载
    积分：1
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    基于数据的PCA程序，程序中有故障预测，故障提取，故障预测，故障幅值估计等内容。(based on the PCA program, the program has fault prediction, fault extraction, fault prediction, fault magnitude estimation content.and so on.)
    2015-03-30 15:27:48下载
    积分：1
  • figsize
    用Matlab作图时，特别是所作的图是要用于科研论文投稿时，对图的大小有一定要求。但用缺省设置作图时，图的大小不能控制，而且常常有大块的空白。本程序可控制图的大小和位置，并能自动去掉空白。(Using Matlab mapping, especially of the map is to be used for scientific research papers submission, the size of the map has a certain requirement. However, when using default settings mapping, map the size of control, often have large gaps. This procedure can control the map size and position, and can automatically remove blank.)
    2008-02-03 12:22:53下载
    积分：1
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    2009-06-06 19:20:22下载
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    2010-05-08 13:57:28下载
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    compares the capacity of SISO and MIMO systems
    2014-11-26 18:21:06下载
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