[rnn] tools

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

Recurrent Neural Networks Tutorial
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/

caffe

torch(lua)
Tutorials for learning Torch
http://torch.ch/docs/tutorials.html

tutorial
http://learning.cs.toronto.edu/wp-content/uploads/2015/02/torch_tutorial.pdf

https://github.com/Element-Research/rnn

https://github.com/karpathy/char-rnn

LSTM实现详解
http://www.csdn.net/article/2015-09-14/2825693

theano(python)
Theano 0.8.0 documentation
http://deeplearning.net/software/theano/index.html

LSTM Library Benchmarks
http://labrosa.ee.columbia.edu/hamr_ismir2014/proceedings/doku.php?id=lstm_benchmarks

lstm tutorial
http://deeplearning.net/tutorial/lstm.html

python theano lstm module
https://pypi.python.org/pypi/theano-lstm

Theano：LSTM源码解析
http://www.cnblogs.com/neopenx/p/4806006.html

CURRENNT
https://sourceforge.net/projects/currennt/
a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations.