TinyRNN is a lightweight header-only C++11 library for building deep recurrent neural networks of any architecture from multilayered perceptrons to LSTM-like RNN's.
Upd. 11.03.2017: TinyRNN is a self-education project and is no longer being maintained.
TinyRNN is heavily influenced by synaptic.js, a javascript library by Juan Cazala based on the paper by Derek D. Monner and James A. Reggia -- "A generalized LSTM-like training algorithm for second-order recurrent neural networks".
Copyright © 2015 Peter Rudenko (peter.rudenko@gmail.com)
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