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專案描述

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.

System Requirements

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2002-07-24 22:50 Back to release list
1.0

This version includes algorithm save/load functionality plus two new activation functions: the 'Mexican Hat' and the 'Gaussian Derivative'.
標籤: Minor feature enhancements

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