• Screenshot 1

Description

Neural Network Framework


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!



Different Levels of Complexity


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.



Intermediate Level Classes


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.



User-Friendly Interface


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.



Requirements You Need



  • CMake

  • Doxygen

  • QT 4.x Library



How to Get Started


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.



Quick Installation Steps:


$> cmake .
$> make
$> make install

Your library will end up in the /usr/local directory.



Normal Installation Steps:


$> 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!



Recommended Procedure (Out-of-Sources Building):


- 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.

What’s New?

The latest release includes a C binding implementation. Exciting stuff!

User Reviews for Neural Network Framework FOR LINUX 7

  • for Neural Network Framework FOR LINUX
    Neural Network Framework FOR LINUX offers flexible creation of neural networks at varying complexity levels. A powerful tool for both experts and beginners.
    Reviewer profile placeholder Sarah Johnson
  • for Neural Network Framework FOR LINUX
    Absolutely love the Neural Network Framework! It's user-friendly and versatile for all skill levels.
    Reviewer profile placeholder Alex Johnson
  • for Neural Network Framework FOR LINUX
    This app is fantastic! The different complexity levels make it perfect for beginners and experts alike.
    Reviewer profile placeholder Maria Rodriguez
  • for Neural Network Framework FOR LINUX
    5 stars! The graphical interface is intuitive, making it easy to experiment with complex neural networks.
    Reviewer profile placeholder James Smith
  • for Neural Network Framework FOR LINUX
    Impressive framework! It's powerful yet simple to use. Highly recommend for anyone interested in neural networks!
    Reviewer profile placeholder Emily Davis
  • for Neural Network Framework FOR LINUX
    Neural Network Framework is a game changer! The XML representation feature is super helpful for organization.
    Reviewer profile placeholder Michael Brown
  • for Neural Network Framework FOR LINUX
    I’m really impressed by this app! It provides great flexibility and depth for both novice and seasoned users.
    Reviewer profile placeholder Sophia Wilson
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