Neural Network Framework is a cool set of C classes and QT 4.x libraries that helps you create all sorts of neural networks. It's designed with different levels of complexity, so whether you're a newbie or an expert, there’s something for you!
At the most basic level, you can build complex architectures without any limits. If you're an expert user, you can even add new features to the NNFW.
If you want something quicker, the intermediate level has classes for making common neural networks like multilayer feed-forward networks, simple recurrent networks (like Elman and Jordan), and Radial-basis networks. Plus, it lets you use XML files to access all NNFW features in a more straightforward way.
The top-level method is a graphical interface, which is super easy to use. This is perfect if you just want to play around with complex neural networks without getting too deep into coding.
To get going, just download the source package and unpack it wherever you want. Then open your console and navigate to where you've unpacked NNFW.
$> cmake .
$> make
$> make install
Your library will end up in the /usr/local directory.
$> ccmake .
- Configure the NNFW_CONFIG variable as needed.
- Press "c" to check pre-compiling settings.
- Hit "g" to create the Makefile.
- Run "make" to compile.
A file named "libnnfw.a" will pop up in your lib directory after this!
- Unpack sources in /some/place/nnfw-src/
- Create a subdirectory called build: /some/place/nnfw-src/build
- Move into that build directory and launch ccmake:
m> ccmake ../
hit "c", then "g", followed by "make" for compilation!
This keeps your main source tree neat! After running this link for download.
The latest release includes a C binding implementation. Exciting stuff!
Go to the Softpas website, press the 'Downloads' button, and pick the app you want to download and install—easy and fast!
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