登录
首页 » matlab » DeepLearnToolbox-master

DeepLearnToolbox-master

于 2020-10-22 发布
0 213
下载积分: 1 下载次数: 1

代码说明:

说明:  这是关于深度学习工具箱的材料,特别适合初学者,可以帮助你们快速学习深度学习(This is the material for a deep learning toolbox, especially for beginners, to help you learn deep learning quickly)

文件列表:

DeepLearnToolbox-master, 0 , 2020-02-23
DeepLearnToolbox-master\.travis.yml, 249 , 2015-12-01
DeepLearnToolbox-master\CAE, 0 , 2020-02-23
DeepLearnToolbox-master\CAE\caeapplygrads.m, 1219 , 2015-12-01
DeepLearnToolbox-master\CAE\caebbp.m, 917 , 2015-12-01
DeepLearnToolbox-master\CAE\caebp.m, 1011 , 2015-12-01
DeepLearnToolbox-master\CAE\caedown.m, 259 , 2015-12-01
DeepLearnToolbox-master\CAE\caeexamples.m, 754 , 2015-12-01
DeepLearnToolbox-master\CAE\caenumgradcheck.m, 3618 , 2015-12-01
DeepLearnToolbox-master\CAE\caesdlm.m, 845 , 2015-12-01
DeepLearnToolbox-master\CAE\caetrain.m, 1148 , 2015-12-01
DeepLearnToolbox-master\CAE\caeup.m, 489 , 2015-12-01
DeepLearnToolbox-master\CAE\max3d.m, 173 , 2015-12-01
DeepLearnToolbox-master\CAE\scaesetup.m, 1937 , 2015-12-01
DeepLearnToolbox-master\CAE\scaetrain.m, 270 , 2015-12-01
DeepLearnToolbox-master\CNN, 0 , 2020-03-01
DeepLearnToolbox-master\CNN\cnnapplygrads.m, 575 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnbp.m, 4958 , 2020-03-01
DeepLearnToolbox-master\CNN\cnnff.m, 5465 , 2020-02-29
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m, 3430 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnsetup.m, 9173 , 2020-02-27
DeepLearnToolbox-master\CNN\cnntest.m, 193 , 2015-12-01
DeepLearnToolbox-master\CNN\cnntrain.m, 3065 , 2020-02-27
DeepLearnToolbox-master\CONTRIBUTING.md, 544 , 2015-12-01
DeepLearnToolbox-master\create_readme.sh, 744 , 2015-12-01
DeepLearnToolbox-master\data, 0 , 2020-02-23
DeepLearnToolbox-master\data\mnist_uint8.mat, 14735220 , 2015-12-01
DeepLearnToolbox-master\DBN, 0 , 2020-02-23
DeepLearnToolbox-master\DBN\dbnsetup.m, 557 , 2015-12-01
DeepLearnToolbox-master\DBN\dbntrain.m, 232 , 2015-12-01
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m, 425 , 2015-12-01
DeepLearnToolbox-master\DBN\rbmdown.m, 90 , 2015-12-01
DeepLearnToolbox-master\DBN\rbmtrain.m, 1401 , 2015-12-01
DeepLearnToolbox-master\DBN\rbmup.m, 89 , 2015-12-01
DeepLearnToolbox-master\LICENSE, 1313 , 2015-12-01
DeepLearnToolbox-master\NN, 0 , 2020-02-23
DeepLearnToolbox-master\NN\nnapplygrads.m, 628 , 2015-12-01
DeepLearnToolbox-master\NN\nnbp.m, 1638 , 2015-12-01
DeepLearnToolbox-master\NN\nnchecknumgrad.m, 704 , 2015-12-01
DeepLearnToolbox-master\NN\nneval.m, 811 , 2015-12-01
DeepLearnToolbox-master\NN\nnff.m, 1849 , 2015-12-01
DeepLearnToolbox-master\NN\nnpredict.m, 192 , 2015-12-01
DeepLearnToolbox-master\NN\nnsetup.m, 1844 , 2015-12-01
DeepLearnToolbox-master\NN\nntest.m, 184 , 2015-12-01
DeepLearnToolbox-master\NN\nntrain.m, 2414 , 2015-12-01
DeepLearnToolbox-master\NN\nnupdatefigures.m, 1858 , 2015-12-01
DeepLearnToolbox-master\README.md, 8861 , 2015-12-01
DeepLearnToolbox-master\README_header.md, 2244 , 2015-12-01
DeepLearnToolbox-master\REFS.md, 950 , 2015-12-01
DeepLearnToolbox-master\SAE, 0 , 2020-02-23
DeepLearnToolbox-master\SAE\saesetup.m, 132 , 2015-12-01
DeepLearnToolbox-master\SAE\saetrain.m, 308 , 2015-12-01
DeepLearnToolbox-master\tests, 0 , 2020-02-27
DeepLearnToolbox-master\tests\runalltests.m, 277 , 2020-08-16
DeepLearnToolbox-master\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_CNN.m, 1977 , 2020-02-27
DeepLearnToolbox-master\tests\test_example_DBN.m, 1031 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_NN.m, 3247 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_SAE.m, 934 , 2015-12-01
DeepLearnToolbox-master\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2015-12-01
DeepLearnToolbox-master\util, 0 , 2020-02-23
DeepLearnToolbox-master\util\allcomb.m, 2618 , 2015-12-01
DeepLearnToolbox-master\util\expand.m, 1958 , 2015-12-01
DeepLearnToolbox-master\util\flicker.m, 208 , 2015-12-01
DeepLearnToolbox-master\util\flipall.m, 80 , 2015-12-01
DeepLearnToolbox-master\util\fliplrf.m, 543 , 2015-12-01
DeepLearnToolbox-master\util\flipudf.m, 576 , 2015-12-01
DeepLearnToolbox-master\util\im2patches.m, 313 , 2015-12-01
DeepLearnToolbox-master\util\isOctave.m, 108 , 2015-12-01
DeepLearnToolbox-master\util\makeLMfilters.m, 1895 , 2015-12-01
DeepLearnToolbox-master\util\myOctaveVersion.m, 169 , 2015-12-01
DeepLearnToolbox-master\util\normalize.m, 97 , 2015-12-01
DeepLearnToolbox-master\util\patches2im.m, 242 , 2015-12-01
DeepLearnToolbox-master\util\randcorr.m, 283 , 2015-12-01
DeepLearnToolbox-master\util\randp.m, 2083 , 2015-12-01
DeepLearnToolbox-master\util\rnd.m, 49 , 2015-12-01
DeepLearnToolbox-master\util\sigm.m, 48 , 2015-12-01
DeepLearnToolbox-master\util\sigmrnd.m, 126 , 2015-12-01
DeepLearnToolbox-master\util\softmax.m, 256 , 2015-12-01
DeepLearnToolbox-master\util\tanh_opt.m, 54 , 2015-12-01
DeepLearnToolbox-master\util\visualize.m, 1072 , 2015-12-01
DeepLearnToolbox-master\util\whiten.m, 183 , 2015-12-01
DeepLearnToolbox-master\util\zscore.m, 137 , 2015-12-01

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

  • rdesktop是微软Windows NT终端服务器客户端,Windows 2000
    rdesktop is a client for Microsoft Windows NT Terminal Server, Windows 2000 Terminal Services, Windows 2003 Terminal Services/Remote Desktop, Windows XP Remote Desktop, and possibly other Terminal Services products. rdesktop currently implements the RDP version 4 and 5 protocols.
    2023-07-22 10:20:04下载
    积分:1
  • Web服务器和浏览器的设计
    说明:  网络编程中C++ Web服务器和浏览器的设计源代码,用于网络编程实验。(The design source code of C++ Web server and browser in network programming is used for network programming experiment.)
    2019-01-08 21:12:52下载
    积分:1
  • xiangguanxishu
    由原始影像(3个波段)计算其相关系数及协方差矩阵,输入为原始图像,输出为3*3的矩阵(Calculating the correlation coefficient from the original image (3 bands))
    2018-11-28 13:31:15下载
    积分:1
  • 希普办公v2
    希普办公网络v2-Xipu office network v2
    2022-08-12 12:21:44下载
    积分:1
  • QT的UDP 通信序,可以用于测试UDP服务器端
    QT的UDP 通信程序,可以用于测试UDP服务器端
    2022-02-01 06:56:04下载
    积分:1
  • ChartRoomClient
    说明:  IOCP客户端代码,希望对大家有所帮助,大家互相学习(ChartRoomClient)
    2009-08-31 21:58:22下载
    积分:1
  • tes
    对于网络开发包的详细解释,包括了libcap和libnid等(For a detailed explanation of the network development kit, including the libcap and libnid of)
    2012-10-23 10:24:33下载
    积分:1
  • 用C++写的计数器CGI序,功能强大,运行速度快速可靠,计数器也可以隐藏,该CGI序运行于WinNT/Intel平台
    用C++编写的计数器CGI程序,功能强大,运行速度快速可靠,计数器也可以隐藏,该CGI程序运行于WinNT/Intel平台-prepared by the Counter CGI program, a powerful, fast and reliable operating speed, counter can hide, The CGI program runs on WinNT/Intel platform
    2023-05-29 02:05:03下载
    积分:1
  • ping
    说明:  本程序检测统计同一网段的电脑在线情况,功能比较单一是给新手学习的.老鸟就绕过了(This program detects and counts the online situation of the computer in the same network segment. The function is relatively simple for novices to learn. Old birds bypass it.)
    2019-03-13 21:07:50下载
    积分:1
  • ABYSS 服务器
    ABYSS曾经在POSIX套接字后有一个成形的套接字概念 ,在其中一个单一类 (TSocket) 包含两种非常不同的对象: 一个类似于 TChanSwitch 和 一个类似 TChannel。 现在,我们有 TChanSwitch 和TChannel,用户应该使用那些,但有可能是旧的程序使用 TSocket,我们想要他们继续工作。 其实,这可能是没有必要。只有一个版本 (1.06) 有TSocket 接口,这个版本没有提供任何激励去升级旧版本的程序来使用TSocket,所以可能有很少或没有TSocket的用户。
    2023-05-25 11:30:03下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载