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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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  • duoyuantongji
    多元统计方法是处理高维、相关数据的有效工具,其首先 在化工过程的故障检测中得到成功应用,后也被应用于其他的 工业过程(Multivariate statistical methods to deal with high dimension and effective tool for data, the first fault detection in chemical process has been successfully applied, the latter also used in other industrial processes)
    2011-05-16 10:25:34下载
    积分:1
  • xiayu
    下雨的falsh源码,简单高效的程序。一学就会。(Rain falsh source, simple and efficient procedure.)
    2014-08-06 21:22:09下载
    积分:1
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    this code is used to make smf file
    2013-10-04 19:08:55下载
    积分:1
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    裕兴FC磁盘式学习机全功能自动DUMP卡带ROM软件源码!!!!!!!!!!!!!!!!!!!!!!!!!(Yuxing FC disk-based learning machine fully functional automatic cassette DUMP ROM software source code)
    2013-12-17 14:03:36下载
    积分:1
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    solar_buck_final是我编写的用于基于buck电路的光伏发电系统,有MTTP最大功率跟踪,PWM调制,能直接出结果(Solar_buck_final is the photovoltaic power generation system that I have written for the buck circuit, and has the MTTP maximum power tracking, PWM modulation, can directly result)
    2015-06-08 22:30:23下载
    积分:1
  • Mathematical-modeling-experiment-
    数学建模与数学实验 基于MatlabMathematical modeling and mathematics experiment (Mathematical modeling and mathematics experiment )
    2011-06-29 19:31:19下载
    积分:1
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    bean recog -gui red , green and black color only M file
    2013-07-10 05:44:17下载
    积分:1
  • gridLegend
    gridlegand多行实现,对多列函数进行实现(gridlegand multi-line implementation)
    2011-02-13 16:37:37下载
    积分:1
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    超速行驶是引起交通事故的主要原因之一,雷达测速仪是检测车辆超速行驶的有效方式之一。本代码用Matlab仿真实现多普勒雷达测速,在MATLAB仿真软件中对被检测车辆运动产生的多普勒频率进行频谱分析。(Speeding is one of the main causes a traffic accident, the radar gun is one effective way to detect speeding vehicles. The code using Matlab simulation Doppler radar gun, the vehicle motion is detected Doppler frequency spectrum analysis in MATLAB simulation software.)
    2013-04-18 10:25:21下载
    积分:1
  • SolvingODEswithMATLAB
    This book is for people who want to solve ordinary differential equations (ODEs), both initial value problems (IVPs) and boundary value problems (BVPs) as well as delay differential equations (DDEs). Solving ODEs withMATLAB is a text for a one-semester course for upper-level undergraduates and beginning graduate students in engineering, science, and mathematics. Prerequisites are a first course in the theory of ODEs and a survey course in numerical analysis. Implicit in these prerequisites is some programming experience, preferably in Matlab, and some elementary matrix theory. Solving ODEs withMATLAB is also a reference for professionals in engineering, science, and mathematics. With it they can quickly obtain an understanding of the issues and see example problems solved in detail. They can use the programs supplied with the book as templates.
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    积分:1
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