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The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research. It uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes.

SigmaPi is no end-user software. It allows the user to change every possible network parameter, and it won't tell you whether a setting is nonsense or not. To use SigmaPi, you should know how a recurrent neural network works and how a LSTM neuron processes information (the manual contains a schematic, since the LSTM neuron of SigmaPi differs slightly from other implementations).

Requirements for SigmaPi

Mac OS X 10.2 or later
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SigmaPi User Discussion

Current Version (1.x)
Downloads 1,955
Version Downloads 1,344
License Free
Date 22 Mar 2004
Platform OS X / PPC 32
Price Free
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