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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