Code for Neural Networks and Reinforcement Learning:
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/
http://nikhilbuduma.com/2015/01/11/a-deep-dive-into-recurrent-neural-networks/
https://sourceforge.net/p/rnnl/wiki/Home/
RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.
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