Neural Net Framework is a software library that facilitates the implementation of multilayer feed-forward neural networks.
One of the standout features of NNF is its speed. Since it's written in plain C without plenty of data structures, the overhead generated by the function calls is notably reduced. In addition, NNF is very "easy" to use, with only one data structure representing a neural network coupled with a few functions to manage it.
It's incredibly straightforward to incorporate a neural network into your existing application with NNF. Plus, it's open source and released under the GNU Lesser General Public License. This means that you are free to view the source code and use it in commercial projects, as long as you respect the author's rights.
The latest release of NNF includes a few compiler warnings corrected and a new makefile was written. Additionally, two minor fixes were made in the tutorial. So, if you're looking for a fast, easy, and open-source neural net framework, NNF might be the perfect software for you.
Version 1.1: N/A