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.

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 2.0 (LGPLv2)

Follow Fast Artificial Neural Network Library

Fast Artificial Neural Network Library Web Site

You Might Also Like
One Suite For All Your Logistics Needs Icon
One Suite For All Your Logistics Needs

Unifying Your Courier and Warehousing Operations with Comprehensive Software Solutions

Delivery Suite is a powerful web-based suite of tools for the Courier, Transportation and Warehousing Industries.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
8
0
0
0
1
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5

User Reviews

  • any questions for help is being answered in matters of minutes. Thanks admin
  • Very good
  • 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
    1 user found this review helpful.
  • Nice project! You did a great job. Thank you!
    2 users found this review helpful.
  • This is a wonderful project. TNX!
    1 user found this review helpful.
Read more reviews >