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

Project Activity

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Categories

Machine Learning

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Multiple Back-Propagation (with CUDA) Web Site

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User Reviews

  • 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.

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Additional Project Details

User Interface

Win32 (MS Windows)

Programming Language

C#, C++

Registered

2009-12-15