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.
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.
Esta versión introduce principios de parada y de color muestra el error codificado. Utiliza números de doble precisión de punto flotante como la versión 0.1 y 0.2. Algunos errores también se han fijado.
Tags:
Minor feature enhancements
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.
