Download
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)
Other Useful Business Software
Enterprise-grade ITSM, for every business
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Rate This Project
Login To Rate This Project
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.
-
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
-
Excellent integration with CUDA, lightening fast NN implementation. Lacks Kohonen,SVM, etc. support anyway, only MLP variants.