登录
首页 » matlab » DeepLearnToolbox-master

DeepLearnToolbox-master

于 2021-02-27 发布
0 239
下载积分: 1 下载次数: 8

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

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • DF
    说明:  DF Cooperative System 实验系统全系统仿真共享版.(DF Cooperative System-wide system simulation experiment system shared version.)
    2009-09-25 19:19:00下载
    积分:1
  • bandpass
    a band pass signal through an ideal BPF x(t) =[1+cos(pi*t/T)]*cos(2pi*fc*t)
    2009-10-20 21:25:10下载
    积分:1
  • 卡尔曼
    基于matlab的完整的卡尔曼滤波程序,实测有效(Kalman filter program)
    2020-07-16 22:48:49下载
    积分:1
  • acado-stable
    ACADO matlab工具包,适用于最优控制;模型预测控制(ACADO Integrators and algorithms for direct optimal control, model predictive control and parameter estimation to MATLAB.)
    2017-11-15 10:19:14下载
    积分:1
  • MATLAB-JC
    本资料是一个用PPT制作的MATLAB教程,供XUEXI 学习MATLAB的人员使用,是一个经典的学习资料。(This information is a PPT production of the MATLAB tutorial for use by persons XUEXI learn MATLAB is a classic learning materials.)
    2013-09-11 09:54:15下载
    积分:1
  • CCA
    说明:  典型关联分析(Canonical Correlation Analysis,以下简称CCA)是最常用的挖掘数据关联关系的算法之一。(Canonical Association Analysis (CCA) is one of the most commonly used algorithms for mining data association.)
    2019-03-01 14:40:14下载
    积分:1
  • 12.04.2010_CTCM_Taller_Startups_material
    How write a bussines plan
    2010-11-04 09:21:46下载
    积分:1
  • Mobile-Radio-Channels-Modeling-in-MATLAB
    Some tips related to wireless channels
    2013-08-07 17:27:41下载
    积分:1
  • sensor
    sensor AWGN channel M=8 N=4 SNR=1:14 include 8 psk
    2012-07-07 11:19:17下载
    积分:1
  • DOAestimation
    DOA估计算法,包括music算法,卡尔曼滤波算法,空间平滑算法,改进的空间平滑算法,自适应梯度算法。(DOA estimation algorithms, including music algorithm, Kalman filtering algorithm, spatial smoothing algorithm, improved spatial smoothing algorithm, adaptive gradient algorithm.)
    2013-05-20 23:35:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载