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DBN实例1深度信念网络

于 2020-11-26 发布
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代码说明：

说明：  Matlab编写的深度学习，DBN深度信念神经网络(Matlab preparation of deep learning, DBN deep belief neural network)

文件列表：

DBN实例1深度信念网络\allcomb.m, 2618 , 2014-05-11
DBN实例1深度信念网络\chapter_WineClass.mat, 72003 , 2018-12-29
DBN实例1深度信念网络\data1.mat, 93015 , 2015-01-21
DBN实例1深度信念网络\data2.mat, 92845 , 2015-01-21
DBN实例1深度信念网络\data3.mat, 92937 , 2015-01-21
DBN实例1深度信念网络\data4.mat, 93438 , 2015-01-21
DBN实例1深度信念网络\dbnsetup.m, 665 , 2015-02-20
DBN实例1深度信念网络\dbntrain.m, 308 , 2015-02-11
DBN实例1深度信念网络\dbnunfoldtonn.m, 674 , 2015-02-21
DBN实例1深度信念网络\expand.m, 1958 , 2014-05-11
DBN实例1深度信念网络\flicker.m, 208 , 2014-05-11
DBN实例1深度信念网络\flipall.m, 80 , 2014-05-11
DBN实例1深度信念网络\fliplrf.m, 543 , 2014-05-11
DBN实例1深度信念网络\flipudf.m, 576 , 2014-05-11
DBN实例1深度信念网络\im2patches.m, 313 , 2014-05-11
DBN实例1深度信念网络\isOctave.m, 108 , 2014-05-11
DBN实例1深度信念网络\makeLMfilters.m, 1895 , 2014-05-11
DBN实例1深度信念网络\mnist_uint8.mat, 14735220 , 2014-05-11
DBN实例1深度信念网络\myOctaveVersion.m, 169 , 2014-05-11
DBN实例1深度信念网络\nnapplygrads.m, 641 , 2015-02-11
DBN实例1深度信念网络\nnbp.m, 1692 , 2020-05-07
DBN实例1深度信念网络\nnchecknumgrad.m, 704 , 2014-05-11
DBN实例1深度信念网络\nneval.m, 811 , 2014-05-11
DBN实例1深度信念网络\nnff.m, 2225 , 2015-02-11
DBN实例1深度信念网络\nnpredict.m, 192 , 2014-05-11
DBN实例1深度信念网络\nnsetup.m, 2032 , 2015-02-11
DBN实例1深度信念网络\nntest.m, 191 , 2017-12-31
DBN实例1深度信念网络\nntrain.m, 2612 , 2019-01-06
DBN实例1深度信念网络\nnupdatefigures.m, 1858 , 2014-05-11
DBN实例1深度信念网络\normalize.m, 97 , 2014-05-11
DBN实例1深度信念网络\patches2im.m, 242 , 2014-05-11
DBN实例1深度信念网络\randcorr.m, 283 , 2014-05-11
DBN实例1深度信念网络\randp.m, 2083 , 2014-05-11
DBN实例1深度信念网络\rbmdown.m, 90 , 2014-05-11
DBN实例1深度信念网络\rbmtrain.m, 1525 , 2015-02-11
DBN实例1深度信念网络\rbmup.m, 192 , 2015-02-11
DBN实例1深度信念网络\rnd.m, 49 , 2014-05-11
DBN实例1深度信念网络\sigm.m, 48 , 2014-05-11
DBN实例1深度信念网络\sigmrnd.m, 126 , 2014-05-11
DBN实例1深度信念网络\softmax.m, 256 , 2014-05-11
DBN实例1深度信念网络\tanh_opt.m, 54 , 2014-05-11
DBN实例1深度信念网络\Untitled.m, 1844 , 2017-12-31
DBN实例1深度信念网络\Untitled1.m, 6293 , 2019-01-06
DBN实例1深度信念网络\Untitled2.m, 10207 , 2019-01-06
DBN实例1深度信念网络\visualize.m, 1072 , 2014-05-11
DBN实例1深度信念网络\whiten.m, 183 , 2014-05-11
DBN实例1深度信念网络\zscore.m, 137 , 2014-05-11
DBN实例1深度信念网络, 0 , 2020-05-07

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  • matlabExamples
    有兴趣学系matlab的朋友，不妨下载看看。这个是经典的matlab模型的源码，里面包含了很多模型的源程序(Faculty are interested in matlab friends, may wish to download to see. This is a classic model matlab source, which contains a lot of model source code)
    2008-05-10 10:10:56下载
    积分：1
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    说明：  基于matlab与VC的混合编程的数字图像处理方法的研究。期刊文献(Matlab-based mix of programming with VC digital image processing method. Periodical Literature)
    2010-03-23 17:34:35下载
    积分：1
  • ProblemsTRC
    Radio communcation Matlab source codes problems
    2013-10-24 15:58:55下载
    积分：1
  • adaboost_version1e
    这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )
    2012-04-23 13:17:57下载
    积分：1
  • QPSK+Rayleigh(AWGN)Simulation
    用MATLAB生成QPSK信号，并通过瑞丽信道和AWGN信道的仿真。(MATLAB QPSK signal generation, and through Ruili Channel and AWGN channel simulation.)
    2007-01-14 00:58:39下载
    积分：1
  • OFDM_gen
    OFDM signal generation using MATLAB. Input to the function are Alphabet size, cyclic prefix length, and number of active subcarriers and total subcarriers
    2011-01-27 17:35:44下载
    积分：1
  • numerical-methods-using-matlab--4th--Edition
    Numerical Methods Using Matlab (4th Edition),John H. Mathews (Author), Kurtis K. Fink (Author).This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. For engineering and computer science fields.
    2011-07-20 16:46:11下载
    积分：1
  • Radar-processing-and-application
    雷达数据处理中文经典教材，系统地介绍了国内外多年来雷达数据自理技术的研究进展情况及作者们的研究成果，对雷达系统设计学习者有较大帮助。(Chinese classic radar data processing materials, a systematic introduction to radar data at home and abroad for many years the progress of self-care technology research and the authors of the research results, the radar system design learners have more help.)
    2011-12-19 16:43:26下载
    积分：1
  • subSuperGaussPlot
    Gaussian Laplace and GGD Random Variables Generators
    2011-02-14 19:52:58下载
    积分：1
  • Morphological-Study-o
    很好的关于风机的资料,希望对大家有所帮组。(the material of Wind turbines )
    2013-07-14 20:05:34下载
    积分：1
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