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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This version is able to process more than one set
of signals. Every set of signals is treated as a
different pattern. All patterns where at least one
target signal is provided can be trained.
Furthermore, RTRL now allows post-update gradient
recalculations to improve precision.
