Multiple Back-Propagation is an open source software application for training neural networks with the backpropagation and the multiple back propagation algorithms. Currently this project is also hosted at http://code.google.com/p/multiplebackpropagation

Features

  • Fast training (supports CUDA)
  • Generates C code for the trained networks
  • Allows input sensitivity analysis
  • Highly configurable
  • Easy to use
  • Provides RMS graphics during training
  • Provides Output versus Desired output graphics during training for the training and test sets

Project Samples

Copy data & graphics menu Graphic: Output versus Desired Output Layer configuration Topology configuration (MBP) Topology configuration Neuron configuration

Project Activity

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Categories

Machine Learning

License

GNU General Public License version 3.0 (GPLv3)

Follow Multiple Back-Propagation (with CUDA)

Multiple Back-Propagation (with CUDA) Web Site

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User Ratings

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User Reviews

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  • tokenname Posted 2014-05-13
    Overall pretty good. It works for the most part (read: is usable). Not everything works with CUDA so for some things you'll still need CPU (like mbp networks - they dont train properly on CUDA). Documentation is non existent and some bugs present.
  • oid-2742753 Posted 2011-12-17
    Hi Noel ! Maybe you already abandon this project ! I have a Problems with CUDA in 2.2.2" on Windows 7 /64 . According to other software's' bugs, it seems that all Fermi architecture and or libraries/gpu are not supported ( GTX 570 ) experience this bug, the design of the Nvidia support 2.0 . Thanks Ispas Aurel
  • chawl Posted 2010-03-11
    Excellent integration with CUDA, lightening fast NN implementation. Lacks Kohonen,SVM, etc. support anyway, only MLP variants.
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Additional Project Details

Operating Systems

Windows

User Interface

Win32 (MS Windows)

Programming Language

C#, C++

Related Categories

C# Machine Learning Software, C++ Machine Learning Software

Registered

2009-12-15
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