Fast Artificial Neural Network Library

4.5 Stars (8)
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Description

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.

Fast Artificial Neural Network Library Web Site

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User Reviews

  • oid-4061180
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    I have reviewed this library and OpenNN (flood), for a project of mine. OpenNN may appear not as popular as FANN. FANN has more add-ons. But openNN already has this built-into it. API for openNN is much nicer. Both have their share of bugs, but debugging a C code is much more annoying. Plus this looks already abandonned v3 as the upcoming release for 3 years, we has 2.1beta and 2.2

    Posted 11/23/2012
  • anastvin
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Nice project! You did a great job. Thank you!

    Posted 10/26/2012
  • vasilievaa2013
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    This is a wonderful project. TNX!

    Posted 10/26/2012
  • natallebedev
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    Very helpful, fast and easy product!

    Posted 10/26/2012
  • maria1985
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    The only tool needed - a must have. This a super cool project

    Posted 09/12/2012
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Additional Project Details

Languages

English

Intended Audience

Developers, Education, Science/Research

User Interface

Web-based, Win32 (MS Windows), X Window System (X11)

Programming Language

C, C#, C++, PHP, Perl, Python

Registered

2003-10-28
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