Fast Artificial Neural Network Library

New FANN website

The FANN website has not been updated for quite a while, partly because of laziness, but also because the update process has been somewhat complicated.

But now, the FANN website has gone through a complete makeover, and it is now based on the WordPress system, which allows for easy updating of the site, site comments, and a FANN blog with news stories about FANN.

Please let me know what you think about the new site, by commenting below.


  1. JRowe JRowe
    February 4, 2011    

    Awesome makeover! This is definitely a huge improvement, and your effort is appreciated. Nice job!

    February 13, 2011    

    Dear Sir/Madam
    I need some code with matlab, for ANN.
    Thanks a lot

  3. February 13, 2011    

    Please take a look at the Language Bindings section:

  4. February 15, 2011    

    Your site looks great!

  5. Rasmus Rasmus
    March 16, 2011    

    The site looks good. Your code looks even better.

  6. Iasen Iasen
    March 25, 2011    

    Very nice !!! I almost thought that the project is dead and I’m following it for years now :)
    When to expect the new version with CUDA/OpenCL, mutli-cpu support (yea dreams I know) ?:P It’s stuck with fann-2.1.0 for way too long 😉
    Nice job anyway , You made my week, thank You :)

  7. nicolas nicolas
    April 2, 2011    

    outstanding web page!

    I’ve used FANN the past year for an ANPR project (OCR with ANN), so I came to take a look of news.
    keep going guys!

    best regards!

  8. April 7, 2011    
  9. June 14, 2012    

    I am new to FANN. I am trying to use the FANN package to do some training on geophysical data that has significant variability. I would like to know how over training/over fitting is avoided in the fann package

    Any one out there to help?

  10. George George
    July 12, 2012    

    The command line program sfann performs early stopping and k-fold-crossvalidation for avoiding training/over fitting. See

  11. kokting kokting
    March 3, 2013    

    Hi, I am currently doing Gesture Recognition and trying to use FANN. Anyone can guide me on how to use this FANN for my project?

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