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 introduces early stopping and colour-encoded error displays. It uses double-precision floating point numbers like version 0.1 and 0.2. Some bugs were also fixed.
An option to connect neurons with different
connection types simultaneously was added. An
option to upload algorithm settings from a file
directly to a selected connection was added. A
statusbar was added.
