登录
首页 » matlab » CNN

CNN

于 2018-05-11 发布 文件大小:14402KB
0 82
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

  • hongmo2
    进一步讨论怎么样进行虹膜眼睛的位置确认,区域生长法确定内圆轮廓(To further discuss how to confirm the position of the iris eye and determine the inner circle contour by region growth method)
    2019-04-01 14:09:10下载
    积分:1
  • lbpmatlab
    获取灰度图像LBP特征的matlab程序,两种LBP算子(LBP to obtain the characteristics of gray image matlab procedures, both LBP operator)
    2007-10-31 11:16:20下载
    积分:1
  • image-retrieval-source-program
    该源代码包含图像10个不变矩的图像检索,小波模极大值法边缘检测,结合颜色特征与不变矩的图像检索源程序(The source code includes images of invariant moments 10 image retrieval, wavelet modulus maximum edge detection method, combining color characteristics and the moment invariants image retrieval source program)
    2012-06-05 21:26:41下载
    积分:1
  • MEMotionEstimation1
    MATLAB做的运动估计,用于图像处理中运动轨迹追踪(仅供大家参考)(motion estimation by matlab, for motion tracking in digital image processing)
    2009-07-07 16:44:48下载
    积分:1
  • Traffic-Statistics-Based-on-Video
    该程序基于视频统计车流量。该算法通过识别出交通场景图像中复合车辆特征的像素,进行图像分割,并依据提取出来的特征来匹配前后两幅图像中的车辆,从而计算车流量。(The program is based on the video statistics vehicle traffic. The algorithm calculates the traffic volume by recognizing the pixels of the composite vehicle feature in the traffic scene image, segmenting the image, and matching the vehicles in the two images according to the extracted features.)
    2016-10-25 12:50:33下载
    积分:1
  • shaweiheji
    本人搜集的沙威老师关于CS所有的资料,包括代码,论文,评论等等,希望对大家有用。(Javert I have collected all of the teachers on the CS data, including code, papers, comments, etc., want to be useful.)
    2011-08-23 11:41:08下载
    积分:1
  • tuxingbianhuan
    用c++编写的三维图像变换的源代码,也是计算机图像学中经常要学习的一种变换。(Transform the source code written in c++ three-dimensional images, but also often have to learn a transformation in the computer iconography.)
    2012-05-24 16:00:54下载
    积分:1
  • gdal180doc
    说明:  开源图形处理工具,可以处理图象,显示,投影转换,栅格和矢量数据处理(Open source graphics tool that can handle images, display, projection conversion, raster and vector data processing)
    2011-03-22 15:39:35下载
    积分:1
  • MZigZag
    ZIGZAG程序,实现对图像矩阵ZIGZAG顺序读取。通常作为函数调用。还有就是霍夫曼编码的程序,得到图像霍夫曼的编码(ZIGZAG procedures ZIGZAG image matrix to achieve the order read. Usually as a function call. There is the Huffman code procedure, the image encoding Hoffman)
    2008-04-30 15:54:11下载
    积分:1
  • DigitalImageProccessexperiment
    Matlab环境下的几个数字图像处理实验,包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等(Several digital image processing experiments, including gray transform, histogram equalization, histogram matching, neighborhood average, local increase, median filtering and image sharpening, etc.)
    2021-02-01 10:10:02下载
    积分:1
  • 696524资源总数
  • 103938会员总数
  • 55今日下载