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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
Categories
Machine LearningLicense
GNU General Public License version 3.0 (GPLv3)Follow Multiple Back-Propagation (with CUDA)
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User Reviews
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4 out of 5 starsOverall 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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1 out of 5 starsHi 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
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5 out of 5 starsExcellent integration with CUDA, lightening fast NN implementation. Lacks Kohonen,SVM, etc. support anyway, only MLP variants.
