文件名称:CNNmatlab
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-03-21
- 文件大小：
- 10.76mb
- 下载次数：
- 1次
- 提 供 者：
- 岩*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
cnn卷积神经网络用于手写数字识别，cnet_tool是一个demo-cnn convolution neural network for handwriting recognition, cnet_tool is a demo
(系统自动生成,下载前可以参看下载内容)
下载文件列表
CNN_matlab代码备份\license.txt
..................\ver 0.83\@cnn\adapt_dw.m
..................\........\....\calchx.m
..................\........\....\calcje.m
..................\........\....\calcMCR.m
..................\........\....\check_finit_dif.m
..................\........\....\cnn.m
..................\........\....\cnn_size.m
..................\........\....\cutrain.m
..................\........\....\init.m
..................\........\....\sim.m
..................\........\....\subsasgn.m
..................\........\....\subsref.m
..................\........\....\train.m
..................\........\back_conv2.m
..................\........\back_subsample.m
..................\........\changelog.txt
..................\........\changelog.txt~
..................\........\cnet.mat
..................\........\cnet_tool.m
..................\........\cnn2singlestruct.m
..................\........\cnn_gui.fig
..................\........\cnn_gui.m
..................\........\cucalcMCR.m
..................\........\cutrain_cnn.m
..................\........\fastFilter2.m
..................\........\license.txt
..................\........\license.txt~
..................\........\MNIST\t10k-images.idx3-ubyte
..................\........\.....\t10k-labels.idx1-ubyte
..................\........\.....\train-images.idx3-ubyte
..................\........\.....\train-labels.idx1-ubyte
..................\........\mse.m
..................\........\preproc_data.m
..................\........\preproc_image.m
..................\........\purelin.m
..................\........\rand_std.m
..................\........\readme.txt
..................\........\readMNIST.m
..................\........\readMNIST_image.m
..................\........\rot180.m
..................\........\singlestruct2cnn.m
..................\........\subsample.m
..................\........\tansig_mod.m
..................\........\test_dgt.m
..................\........\train_cnn.m
..................\........\@cnn
..................\........\MNIST
..................\ver 0.83
CNN_matlab代码备份