文件名称:Release
介绍说明--下载内容均来自于网络,请自行研究使用
闲时无聊,搭了一个基于深度神经网络的手写数字识别系统。该系统在手写数字数据库mnist测试达到了99.22 的准确率。整个系统基于C++开发,可以很方便的移植到其他平台。
其中手写数字数据库mnist(http://yann.lecun.com/exdb/mnist/),有60000个训练样本数据集和10000个测试用例。它是由Google实验室的Corinna Cortes和纽约大学柯朗研究所的Yann LeCun建立的一个手写数字数据库。同时它是nist数据库的一个子集。
我们这里给出了训练和测试的tools以及一个demo。打开解压包,有两个文件夹,一个是“训练和测试的tools”,一个是“demo”。
详细的使用方法参看我的博客:http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=772908-Leisure bored, take a handwriting recognition system based on neural network depth. The system is tested in handwritten digital database mnist reached 99.22 accuracy rate. The whole system is based on C++ development, can be easily ported to other platforms.
Where handwritten digital database mnist (http://yann.lecun.com/exdb/mnist/), there are 60,000 training sample data sets and 10,000 test cases. It is composed of Yann Google Labs Corinna Cortes and New York University s Courant Institute of LeCun establish a handwritten digital database. Also it is a subset of the database nist.
Here are the tools of our training and testing as well as a demo. Open unzip the package, there are two folders, one is "training and testing tools", one is "demo".
Detailed usage see my blog: http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=772908
其中手写数字数据库mnist(http://yann.lecun.com/exdb/mnist/),有60000个训练样本数据集和10000个测试用例。它是由Google实验室的Corinna Cortes和纽约大学柯朗研究所的Yann LeCun建立的一个手写数字数据库。同时它是nist数据库的一个子集。
我们这里给出了训练和测试的tools以及一个demo。打开解压包,有两个文件夹,一个是“训练和测试的tools”,一个是“demo”。
详细的使用方法参看我的博客:http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=772908-Leisure bored, take a handwriting recognition system based on neural network depth. The system is tested in handwritten digital database mnist reached 99.22 accuracy rate. The whole system is based on C++ development, can be easily ported to other platforms.
Where handwritten digital database mnist (http://yann.lecun.com/exdb/mnist/), there are 60,000 training sample data sets and 10,000 test cases. It is composed of Yann Google Labs Corinna Cortes and New York University s Courant Institute of LeCun establish a handwritten digital database. Also it is a subset of the database nist.
Here are the tools of our training and testing as well as a demo. Open unzip the package, there are two folders, one is "training and testing tools", one is "demo".
Detailed usage see my blog: http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=772908
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Release
.......\demo
.......\....\demo_lily_mnist.exe
.......\....\model9420000.nnt
.......\....\run.log
.......\....\t10k-images
.......\....\...........\0_0.bmp
.......\....\...........\0_1.bmp
.......\....\...........\0_10.bmp
.......\....\...........\0_100.bmp
.......\....\...........\0_101.bmp
.......\....\...........\0_102.bmp
.......\....\...........\0_103.bmp
.......\....\...........\0_104.bmp
.......\....\...........\0_105.bmp
.......\....\...........\0_106.bmp
.......\....\...........\0_107.bmp
.......\....\...........\0_108.bmp
.......\....\...........\0_109.bmp
.......\....\...........\0_11.bmp
.......\....\...........\0_110.bmp
.......\....\...........\0_111.bmp
.......\....\...........\0_112.bmp
.......\....\...........\0_113.bmp
.......\....\...........\0_114.bmp
.......\....\...........\0_115.bmp
.......\....\...........\0_116.bmp
.......\....\...........\0_117.bmp
.......\....\...........\0_118.bmp
.......\....\...........\0_119.bmp
.......\....\...........\0_12.bmp
.......\....\...........\0_120.bmp
.......\....\...........\0_121.bmp
.......\....\...........\0_122.bmp
.......\....\...........\0_123.bmp
.......\....\...........\0_124.bmp
.......\....\...........\0_125.bmp
.......\....\...........\0_126.bmp
.......\....\...........\0_127.bmp
.......\....\...........\0_128.bmp
.......\....\...........\0_129.bmp
.......\....\...........\0_13.bmp
.......\....\...........\0_130.bmp
.......\....\...........\0_131.bmp
.......\....\...........\0_132.bmp
.......\....\...........\0_133.bmp
.......\....\...........\0_134.bmp
.......\....\...........\0_135.bmp
.......\....\...........\0_136.bmp
.......\....\...........\0_137.bmp
.......\....\...........\0_138.bmp
.......\....\...........\0_139.bmp
.......\....\...........\0_14.bmp
.......\....\...........\0_140.bmp
.......\....\...........\0_141.bmp
.......\....\...........\0_142.bmp
.......\....\...........\0_143.bmp
.......\....\...........\0_144.bmp
.......\....\...........\0_145.bmp
.......\....\...........\0_146.bmp
.......\....\...........\0_147.bmp
.......\....\...........\0_148.bmp
.......\....\...........\0_149.bmp
.......\....\...........\0_15.bmp
.......\....\...........\0_150.bmp
.......\....\...........\0_151.bmp
.......\....\...........\0_152.bmp
.......\....\...........\0_153.bmp
.......\....\...........\0_154.bmp
.......\....\...........\0_155.bmp
.......\....\...........\0_156.bmp
.......\....\...........\0_157.bmp
.......\....\...........\0_158.bmp
.......\....\...........\0_159.bmp
.......\....\...........\0_16.bmp
.......\....\...........\0_160.bmp
.......\....\...........\0_161.bmp
.......\....\...........\0_162.bmp
.......\....\...........\0_163.bmp
.......\....\...........\0_164.bmp
.......\....\...........\0_165.bmp
.......\....\...........\0_166.bmp
.......\....\...........\0_167.bmp
.......\....\...........\0_168.bmp
.......\....\...........\0_169.bmp
.......\....\...........\0_17.bmp
.......\....\...........\0_170.bmp
.......\....\...........\0_171.bmp
.......\....\...........\0_172.bmp
.......\....\...........\0_173.bmp
.......\....\...........\0_174.bmp
.......\....\...........\0_175.bmp
.......\....\...........\0_176.bmp
.......\....\...........\0_177.bmp
.......\....\...........\0_178.bmp
.......\....\...........\0_179.bmp
.......\....\...........\0_18.bmp
.......\....\...........\0_180.bmp
.......\....\...........\0_181.bmp
.......\....\...........\0_182.bmp