Description: 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
To Search:
File list (Check if you may need any files):
Release
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