SigmaPi is a simulator for recurrent neural networks of arbitrary topology. It uses the LSTM neuron model, and implements a training algorithm based on RTRL with some extensions taken from RProp.
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A momentum parameter has been introduced to speed
up the training algorithm. Furthermore, a new
update option has been introduced to discard
potentially harmful updates.
