登录
首页 » matlab » Deep learning_CNN DBN RBM

Deep learning_CNN DBN RBM

于 2018-12-18 发布 文件大小:14409KB
0 143
下载积分: 1 下载次数: 48

代码说明:

  运用深度学习模型实现图像的分类,主要包括卷积神经网络CNN和深信度网络DBN(Classification of images using deep learning model includes convolutional neural network CNN and belief network DBN.)

文件列表:

深度学习CNN%2BDBN%2BRBM\.travis.yml, 249 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caeapplygrads.m, 1219 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caebbp.m, 917 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caebp.m, 1011 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caedown.m, 259 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caeexamples.m, 754 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caenumgradcheck.m, 3618 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caesdlm.m, 845 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caetrain.m, 1148 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\caeup.m, 489 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\max3d.m, 173 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\scaesetup.m, 1937 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE\scaetrain.m, 270 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnnapplygrads.m, 575 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnnbp.m, 2141 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnnff.m, 1774 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnnnumgradcheck.m, 3430 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnnsetup.m, 2020 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnntest.m, 193 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN\cnntrain.m, 845 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CONTRIBUTING.md, 544 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\create_readme.sh, 744 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\data\mnist_uint8.mat, 14735220 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN\dbnsetup.m, 557 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN\dbntrain.m, 232 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN\dbnunfoldtonn.m, 425 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN\rbmdown.m, 90 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN\rbmtrain.m, 1401 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN\rbmup.m, 89 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\LICENSE, 1313 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnapplygrads.m, 628 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnbp.m, 1638 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnchecknumgrad.m, 704 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nneval.m, 811 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnff.m, 1849 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnpredict.m, 192 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnsetup.m, 1844 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nntest.m, 184 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nntrain.m, 2414 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN\nnupdatefigures.m, 1858 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\README.md, 8861 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\README_header.md, 2244 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\REFS.md, 950 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\SAE\saesetup.m, 132 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\SAE\saetrain.m, 308 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\runalltests.m, 165 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\test_example_CNN.m, 981 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\test_example_DBN.m, 1031 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\test_example_NN.m, 3247 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\test_example_SAE.m, 934 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\allcomb.m, 2618 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\expand.m, 1958 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\flicker.m, 208 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\flipall.m, 80 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\fliplrf.m, 543 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\flipudf.m, 576 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\im2patches.m, 313 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\isOctave.m, 108 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\makeLMfilters.m, 1895 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\myOctaveVersion.m, 169 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\normalize.m, 97 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\patches2im.m, 242 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\randcorr.m, 283 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\randp.m, 2083 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\rnd.m, 49 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\sigm.m, 48 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\sigmrnd.m, 126 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\softmax.m, 256 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\tanh_opt.m, 54 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\visualize.m, 1072 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\whiten.m, 183 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util\zscore.m, 137 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CAE, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\CNN, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\data, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\DBN, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\NN, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\SAE, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\tests, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM\util, 0 , 2015-12-01
深度学习CNN%2BDBN%2BRBM, 0 , 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

  • 很好的英语学习资源,对词汇量的提高十分有益。
    很好的英语学习资源,对词汇量的提高十分有益。-Very good English learning resources, improve vocabulary and useful.
    2022-08-24 04:00:27下载
    积分:1
  • sa80_64ride_for_win
    僅支援WIN 1. 取消QQ驗證 2. 修正64騎寵 3. 修正sa_8012 & sa_8002 道具.郵件封包 4. 修正出生寵錯亂 5. 增加世界頻道 (需要SAForever.exe支持) 6. 支持 sa_8002, sa_8012, sa_0402(Supports only WIN 1. Cancel QQ verification 2. Amendment 64 to ride pet 3. Amendment sa_8012 & sa_8002 props. E-mail packet 4. Amend pet birth disorders 5. To increase the world' s Channel (requires SAForever.exe support) 6. Support sa_8002, sa_8012, sa_0402)
    2010-01-17 06:30:19下载
    积分:1
  • Caro Game, VTM Vietnam, this is execute files
    Caro Game, VTM Vietnam, this is execute files
    2022-04-06 14:47:47下载
    积分:1
  • 初始屏幕
    这个程序允许用户显示一个动画的闪屏,当程序执行且花费更长的时间来启动。
    2022-12-10 13:30:03下载
    积分:1
  • HgeGameRPG
    推荐一个可以读取外部文档的类,分享,分享,学习(Recommend a class that can read external document sharing, sharing, learning)
    2013-03-22 20:55:12下载
    积分:1
  • 一个C++的参考文件,。chm格式的,很好用的一个信息
    一份C++的参考文档,.CHM格式,很好用的一份资料-A C++ Reference documents,. CHM format, good use of an information
    2022-02-25 23:42:30下载
    积分:1
  • 校内赛比赛规则:机器人舞蹈比赛
    介绍ROBOBASIC语法及适用,主要适用于机器人程序开发及调试(This paper introduces the ROBOBASIC grammar and its application, which is mainly suitable for the development and debugging of robot programs.)
    2020-06-19 12:20:02下载
    积分:1
  • STM8L15x
    STM8L15系列的I2C通信实例程序,有三种模式的范例,分别是master,slaver ,poll(STM8L15 series I2C communication procedures example, there are three modes of examples, namely master, slaver, poll)
    2013-06-05 11:04:18下载
    积分:1
  • STM32超声波测距
    基于stm32f103系列的超声波测距。 误差小于3毫米。亲测可用(Ultrasonic ranging based on STM32F103 series. The error is less than 3 mm. Availability of pro-test)
    2020-06-19 19:00:01下载
    积分:1
  • 基于LABVIEW和单片机的激光器温度控制系统的研究
    基于LABVIEW和单片机的激光器温度控制系统的研究(Research on Laser Temperature Control System Based on LABVIEW and MCU)
    2020-06-24 15:00:02下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 31今日下载