登录
首页 » matlab » CNN

CNN

于 2018-05-11 发布 文件大小:14402KB
0 177
下载积分: 1 下载次数: 48

代码说明:

  CNN卷积神经网络,能以高速将图像精确到的分类,给力。(CNN convolutional neural network with high speed, accurate to classify images, awesome.)

文件列表:

DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\.travis.yml, 249 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caeapplygrads.m, 1219 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caebbp.m, 917 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caebp.m, 1011 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caedown.m, 259 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caeexamples.m, 754 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caenumgradcheck.m, 3618 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caesdlm.m, 845 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caetrain.m, 1148 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\caeup.m, 489 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\max3d.m, 173 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\scaesetup.m, 1937 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CAE\scaetrain.m, 270 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnnapplygrads.m, 575 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnnbp.m, 2141 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnnff.m, 1774 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnnnumgradcheck.m, 3430 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnnsetup.m, 2020 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnntest.m, 193 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CNN\cnntrain.m, 845 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\CONTRIBUTING.md, 544 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN\dbnsetup.m, 557 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN\dbntrain.m, 232 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN\dbnunfoldtonn.m, 425 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN\rbmdown.m, 90 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN\rbmtrain.m, 1401 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\DBN\rbmup.m, 89 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\LICENSE, 1313 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnapplygrads.m, 628 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnbp.m, 1638 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnchecknumgrad.m, 704 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nneval.m, 772 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnff.m, 1849 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnpredict.m, 188 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnsetup.m, 1844 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nntest.m, 180 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nntrain.m, 2414 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\NN\nnupdatefigures.m, 1858 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\README.md, 8730 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\README_header.md, 2256 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\REFS.md, 950 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\SAE, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\SAE\saesetup.m, 132 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\SAE\saetrain.m, 308 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\create_readme.sh, 744 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\data, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\data\mnist_uint8.mat, 14735220 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\runalltests.m, 165 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\test_example_CNN.m, 981 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\test_example_DBN.m, 1031 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\test_example_NN.m, 3247 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\test_example_SAE.m, 934 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util, 0 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\allcomb.m, 2618 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\expand.m, 1958 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\flicker.m, 208 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\flipall.m, 80 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\fliplrf.m, 543 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\flipudf.m, 576 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\im2patches.m, 313 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\isOctave.m, 108 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\makeLMfilters.m, 1895 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\myOctaveVersion.m, 169 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\normalize.m, 97 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\patches2im.m, 242 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\randcorr.m, 283 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\randp.m, 2083 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\rnd.m, 49 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\sigm.m, 48 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\sigmrnd.m, 126 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\softmax.m, 256 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\tanh_opt.m, 54 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\visualize.m, 1072 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\whiten.m, 183 , 2014-01-12
DeepLearnToolbox-7c23709e940a8388f26e0377d47dae076a449fc6\util\zscore.m, 137 , 2014-01-12

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

  • SpectrumAbsorptionBandDectetion
    这是一个利用导数光谱分析的方法检测特征吸收波段的源代码,可供从事高光谱图像处理的朋友分享。(This is a use of derivative spectroscopy method of the characteristic absorption band of the source code, available to engage in high-spectral image processing share.)
    2009-01-02 10:37:16下载
    积分:1
  • imageretrieval
    基于颜色的图像检索,采用累积多种距离衡量算法(Color-based image retrieval, using a variety of distance measuring algorithm cumulative)
    2008-04-23 09:07:25下载
    积分:1
  • CEGUIDemo3
    介绍CEGUI中所给的例子的的文档,很详细.(Introduce the samples in the CECUI,very detailed!)
    2009-05-19 15:07:56下载
    积分:1
  • gaussian3
    对输入视频进行处理,使用高斯背景建模的方法,得到视频前景,对于人群密度估计具有很大作用。(Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.)
    2013-07-22 16:37:12下载
    积分:1
  • avi-to-yuv
    视频格式转换 这里主要是mpeg格式 转化为avi,yuv等多种格式(Video format conversion here is mainly converted to avi mpeg format)
    2013-06-20 22:51:19下载
    积分:1
  • 数字——使用MATLAB分析与实现
    说明:  本压缩包主要包括数字图像处理——使用MATLAB分析与实现的源代码(This compression package mainly includes digital image processing - using MATLAB analysis and implementation of the source code)
    2021-01-25 19:27:43下载
    积分:1
  • 002
    时频分布处理(重排、图像的信息处理以及Winger-Hough变换)(Time-Frequency Distribution Processing (rearrangements, the image information processing and the Hough transform Winger))
    2012-03-23 09:49:55下载
    积分:1
  • 去雾算法
    说明:  SSR、MSRCR、Retinex和暗通道四种去雾算法的matlab实现,亲测好用,改图片名可以直接运行,效果很好(The matlab implementation of SSR, msrcr, Retinex and dark channel defogging algorithms is easy to test and use. Changing the image name can run directly, and the effect is very good)
    2021-04-10 17:05:13下载
    积分:1
  • walsh
    这是一个基于matlab语言编写的沃尔什变换程序,里面有一个4X4的矩阵可当例子,修改相关参数可用于2^n的矩阵(Walsh Transform matlab language based program, which has a 4X4 matrix when the example 2 ^ n matrix can be used to modify the relevant parameters)
    2021-04-21 00:08:49下载
    积分:1
  • skeleton-extraction
    一种细化的骨架提取算法 可以提高徐璈的处理厚重图像(sgsdgsdgsdgggs skeleton extraction)
    2017-05-14 13:32:11下载
    积分:1
  • 696518资源总数
  • 106265会员总数
  • 10今日下载