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DeepLearnToolbox-master

于 2021-02-27 发布
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下载积分: 1 下载次数: 8
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代码说明：

说明：  深度学习工具箱，包括BP、CNN、DBN、CAE等多个网络。包含数据可直接运行。(Deep learning toolbox, including multiple networks such as BP, CNN, DBN, CAE, etc. Containing data can be run directly.)

文件列表：

DeepLearnToolbox-master\.travis.yml, 249 , 2018-03-15
DeepLearnToolbox-master\CAE\caeapplygrads.m, 1219 , 2018-03-15
DeepLearnToolbox-master\CAE\caebbp.m, 917 , 2018-03-15
DeepLearnToolbox-master\CAE\caebp.m, 1011 , 2018-03-15
DeepLearnToolbox-master\CAE\caedown.m, 259 , 2018-03-15
DeepLearnToolbox-master\CAE\caeexamples.m, 754 , 2018-03-15
DeepLearnToolbox-master\CAE\caenumgradcheck.m, 3618 , 2018-03-15
DeepLearnToolbox-master\CAE\caesdlm.m, 845 , 2018-03-15
DeepLearnToolbox-master\CAE\caetrain.m, 1148 , 2018-03-15
DeepLearnToolbox-master\CAE\caeup.m, 489 , 2018-03-15
DeepLearnToolbox-master\CAE\max3d.m, 173 , 2018-03-15
DeepLearnToolbox-master\CAE\scaesetup.m, 1937 , 2018-03-15
DeepLearnToolbox-master\CAE\scaetrain.m, 270 , 2018-03-15
DeepLearnToolbox-master\CNN\cnnapplygrads.m, 575 , 2018-03-15
DeepLearnToolbox-master\CNN\cnnbp.m, 2141 , 2018-03-15
DeepLearnToolbox-master\CNN\cnnff.m, 1774 , 2018-03-15
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m, 3430 , 2018-03-15
DeepLearnToolbox-master\CNN\cnnsetup.m, 2020 , 2018-03-15
DeepLearnToolbox-master\CNN\cnntest.m, 193 , 2018-03-15
DeepLearnToolbox-master\CNN\cnntrain.m, 845 , 2018-03-15
DeepLearnToolbox-master\CONTRIBUTING.md, 544 , 2018-03-15
DeepLearnToolbox-master\create_readme.sh, 744 , 2018-03-15
DeepLearnToolbox-master\data\mnist_uint8.mat, 14735220 , 2018-03-15
DeepLearnToolbox-master\DBN\dbnsetup.m, 557 , 2018-03-15
DeepLearnToolbox-master\DBN\dbntrain.m, 232 , 2018-03-15
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m, 425 , 2018-03-15
DeepLearnToolbox-master\DBN\rbmdown.m, 90 , 2018-03-15
DeepLearnToolbox-master\DBN\rbmtrain.m, 1401 , 2018-03-15
DeepLearnToolbox-master\DBN\rbmup.m, 89 , 2018-03-15
DeepLearnToolbox-master\LICENSE, 1313 , 2018-03-15
DeepLearnToolbox-master\NN\nnapplygrads.m, 628 , 2018-03-15
DeepLearnToolbox-master\NN\nnbp.m, 1638 , 2018-03-15
DeepLearnToolbox-master\NN\nnchecknumgrad.m, 704 , 2018-03-15
DeepLearnToolbox-master\NN\nneval.m, 811 , 2018-03-15
DeepLearnToolbox-master\NN\nnff.m, 1849 , 2018-03-15
DeepLearnToolbox-master\NN\nnpredict.m, 192 , 2018-03-15
DeepLearnToolbox-master\NN\nnsetup.m, 1844 , 2018-03-15
DeepLearnToolbox-master\NN\nntest.m, 184 , 2018-03-15
DeepLearnToolbox-master\NN\nntrain.m, 2414 , 2018-03-15
DeepLearnToolbox-master\NN\nnupdatefigures.m, 1858 , 2018-03-15
DeepLearnToolbox-master\README.md, 8861 , 2018-03-15
DeepLearnToolbox-master\README_header.md, 2244 , 2018-03-15
DeepLearnToolbox-master\REFS.md, 950 , 2018-03-15
DeepLearnToolbox-master\SAE\saesetup.m, 132 , 2018-03-15
DeepLearnToolbox-master\SAE\saetrain.m, 308 , 2018-03-15
DeepLearnToolbox-master\tests\runalltests.m, 165 , 2018-03-15
DeepLearnToolbox-master\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2018-03-15
DeepLearnToolbox-master\tests\test_example_CNN.m, 981 , 2018-03-15
DeepLearnToolbox-master\tests\test_example_DBN.m, 1031 , 2018-03-15
DeepLearnToolbox-master\tests\test_example_NN.m, 3247 , 2018-03-15
DeepLearnToolbox-master\tests\test_example_SAE.m, 934 , 2018-03-15
DeepLearnToolbox-master\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2018-03-15
DeepLearnToolbox-master\util\allcomb.m, 2618 , 2018-03-15
DeepLearnToolbox-master\util\expand.m, 1958 , 2018-03-15
DeepLearnToolbox-master\util\flicker.m, 208 , 2018-03-15
DeepLearnToolbox-master\util\flipall.m, 80 , 2018-03-15
DeepLearnToolbox-master\util\fliplrf.m, 543 , 2018-03-15
DeepLearnToolbox-master\util\flipudf.m, 576 , 2018-03-15
DeepLearnToolbox-master\util\im2patches.m, 313 , 2018-03-15
DeepLearnToolbox-master\util\isOctave.m, 108 , 2018-03-15
DeepLearnToolbox-master\util\makeLMfilters.m, 1895 , 2018-03-15
DeepLearnToolbox-master\util\myOctaveVersion.m, 169 , 2018-03-15
DeepLearnToolbox-master\util\normalize.m, 97 , 2018-03-15
DeepLearnToolbox-master\util\patches2im.m, 242 , 2018-03-15
DeepLearnToolbox-master\util\randcorr.m, 283 , 2018-03-15
DeepLearnToolbox-master\util\randp.m, 2083 , 2018-03-15
DeepLearnToolbox-master\util\rnd.m, 49 , 2018-03-15
DeepLearnToolbox-master\util\sigm.m, 48 , 2018-03-15
DeepLearnToolbox-master\util\sigmrnd.m, 126 , 2018-03-15
DeepLearnToolbox-master\util\softmax.m, 256 , 2018-03-15
DeepLearnToolbox-master\util\tanh_opt.m, 54 , 2018-03-15
DeepLearnToolbox-master\util\visualize.m, 1072 , 2018-03-15
DeepLearnToolbox-master\util\whiten.m, 183 , 2018-03-15
DeepLearnToolbox-master\util\zscore.m, 137 , 2018-03-15
DeepLearnToolbox-master\说明.docx, 15054 , 2018-03-15
DeepLearnToolbox-master\CAE, 0 , 2020-09-29
DeepLearnToolbox-master\CNN, 0 , 2020-09-29
DeepLearnToolbox-master\data, 0 , 2020-09-29
DeepLearnToolbox-master\DBN, 0 , 2020-09-29
DeepLearnToolbox-master\NN, 0 , 2020-09-29
DeepLearnToolbox-master\SAE, 0 , 2020-09-29
DeepLearnToolbox-master\tests, 0 , 2020-09-29
DeepLearnToolbox-master\util, 0 , 2020-09-29
DeepLearnToolbox-master, 0 , 2020-09-29

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发表评论

0 个回复

  • MDwnn
    多输入多输出的小波网络模型，需安装matlab神经网络工具箱用的是青岛海洋大学学报上那篇论文的模型,嵌入了开发的初始化算法，程序里有较为详细的说明，很好用(Multiple-input multiple-output wavelet network model, the need to install matlab neural network toolbox is used Qingdao Ocean University Journal article thesis model, embedded in the development of the initialization algorithm, the procedure has a more detailed explanation, very good use)
    2008-01-03 21:27:06下载
    积分：1
  • MatlabPPT
    MATLAB 讲义，对MATLAB高级应用进行深入的剖析，如果您在使用MATLAB时遇到技术问题，这个讲义经对您有用。(MATLAB lectures, advanced applications of MATLAB in-depth analysis, if you are using MATLAB encounter technical problems, this lecture by useful to you.)
    2009-10-15 22:05:20下载
    积分：1
  • Introduction-to-Linear-Algebra-practice-and-matlab
    线性代数实践及MATLAB入门 本书是根据“用软件工具推向线性代数教学”的指导思想，参照美国1992-1997国家科学基金项目ATLAST的思路，编写成的线性代数补充教材，其目的是补充我国现有教材的的缺陷。它分为两篇，第一篇介绍线件代数所用的软件工具MATLAB语言，第二篇介绍线性代数实践。本书可作为大学本科线性代数的配套教材，也可作为广大理工、经管领域教师、工程师和研究生的参考读物。(Introduction to Linear Algebra practice and matlab This book is based on the guiding ideology"use of software tools into the teaching of linear algebra," , with reference to the ATLAST ideas of U.S. National Science Foundation(1992-1997) , written as a linear algebra supplementary materials, the purpose is to supplement our existing materials defects. It is divided into two parts, the first introduces line of pieces of software tools used in algebraic MATLAB, the second introduces linear algebra practice. )
    2010-11-08 17:32:58下载
    积分：1
  • jiaozhi
    深衰落信道交织码的快速实现，非常适合初学者理解交织过程(Deep fading channel interleaving code quickly realize, very suitable for beginners to understand interleaving process)
    2014-02-17 19:54:55下载
    积分：1
  • LMS1
    LMS算法的Matlab的具体实现,一个很简单的LMS算法的例子(implementation of LMS with Matlab)
    2009-10-05 13:43:23下载
    积分：1
  • Kerne-Fisher-Progection
    Kernel Fisher Discriminants
    2012-12-31 18:40:17下载
    积分：1
  • i
    说明：  Download the file porsch.tiff. Write an M-file that get the image and does the following tasks: i. Smooth the image with a 3×3 filter mask.
    2014-09-11 15:06:25下载
    积分：1
  • nonuniform_abc
    主要说明在非一致网格下以及吸收边界条件下求解偏微分方程(It mentions an example to solve PDE in nonuniform mesh and using absorbing boundary conditions )
    2015-01-06 11:29:40下载
    积分：1
  • colorpmp
    这是在MATLAB下编写的基于彩色条纹的相位测量轮廓术的源码,很实用.,在光学三维测量中(This is prepared in MATLAB based on the color stripe phase measuring profilometry of the source, it is practical., In the three-dimensional optical measurement)
    2020-12-16 12:19:12下载
    积分：1
  • psoshj
    pos算法，微粒群优化算法解决函数优化问题，程序就是解决函数优化问题。(pos algorithm, particle swarm optimization algorithm to solve the function optimization problem, the procedure is to solve function optimization problems.)
    2013-11-07 15:13:53下载
    积分：1
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