SigmaPi 1.3 review
DownloadThe SigmaPi Neural Network Simulator is designed for time-series processing and neural network research.
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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).
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