Click here to Skip to main content
Click here to Skip to main content
Alternatives

Neural Network for Recognition of Handwritten Digits

, 5 Dec 2006
A convolutional neural network achieves 99.26% accuracy on a modified NIST database of hand-written digits.

Alternatives

Members may post updates or alternatives to this current article in order to show different approaches or add new features.

No alternatives have been posted.

License

This article has no explicit license attached to it but may contain usage terms in the article text or the download files themselves. If in doubt please contact the author via the discussion board below.

A list of licenses authors might use can be found here

Share

About the Author

Mike O'Neill

United States United States
Mike O'Neill is a patent attorney in Southern California, where he specializes in computer and software-related patents. He programs as a hobby, and in a vain attempt to keep up with and understand the technology of his clients.

| | Privacy | Terms of Use | Mobile
Web03 | 2.8.141223.1 | Last Updated 5 Dec 2006
Article Copyright 2006 by Mike O'Neill
Everything else Copyright © CodeProject, 1999-2014
Layout: fixed | fluid