登录
首页 » matlab » DeepLearnToolbox-master

DeepLearnToolbox-master

于 2021-02-27 发布
0 204
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

  • MinimosCuadradosL.m
    minim squares matlab numerical
    2012-01-26 20:30:23下载
    积分:1
  • MATLAB_ChePAiDingWei
    程序内容是关于汽车牌照定位,方法是基于颜色分量,使用MATLAB进行编写。 希望对您有所帮助!(Procedures are on the vehicle license positioning method is based on the color component, the use of MATLAB to carry out the preparation. I hope for your help!)
    2007-09-12 12:57:17下载
    积分:1
  • xinhaoyuxitongyuanchenxu
    信号与系统分析及MATLAB实现一书中的所有源代码,具有较高的实用价值!(Signal and System Analysis and MATLAB a book of all the source code has high practical value.)
    2007-06-30 09:32:17下载
    积分:1
  • etna_dat
    意大利Etna火山InSAR实测的SLC数据,即两幅天线的SAR复图像,mat格式,可以用MATLAB直接读取后进行图像配准、相位滤波、解缠绕等步骤。(Etna volcano, Italy measured the SLC InSAR data, that is, two antenna SAR complex image, mat format, can be read directly after the MATLAB image registration, phase filtering, winding steps of solution.)
    2010-08-12 23:25:42下载
    积分:1
  • capturing
    Capture a video from video input
    2009-03-24 16:20:29下载
    积分:1
  • mine001
    说明:  适应度计算中要修改惩罚函数的形式。0 3.为提高难度,把适应度改写为自适应的形式。 (Fitness calculation is necessary to modify the penalty function form. 03. To enhance the degree of difficulty, the adaptive fitness rewritten form.)
    2010-05-03 14:33:01下载
    积分:1
  • BRAND5
    说明:  MATLAB程序(附图像),对图像商标文字的分割。(MATLAB (AP like), the trademark image segmentation words.)
    2006-04-02 22:10:22下载
    积分:1
  • hhspectrum
    希尔伯特变换的matlab演示程序,可以用来仿真希尔伯特变换,方便广大初学者下载运行(Hilbert transformation of matlab demo application that can be used for simulation Hilbert transformation, convenient the beginners download runs )
    2012-04-19 21:46:02下载
    积分:1
  • mulregress
    多元线性回归分析,基于matlab的开发演示(Multiple linear regression analysis based on matlab development demonstrates)
    2013-03-26 00:20:02下载
    积分:1
  • work-5-and-sol
    matlab code for beging cc motor...
    2013-12-16 23:02:40下载
    积分:1
  • 696518资源总数
  • 106161会员总数
  • 5今日下载