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CharLSTM-RNN is a simple plug-and-play script that uses LSTM-based recurrent neural networks to generate text character-by-character. Simply link your source text and go. CharLSTM-RNN is built on top of Theano, so it is easily parallelizable and will run on most GPU's. CharLSTM-RNN was inspired by Andrej Karpathy's char-rnn (https://github.com/k…

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charLSTM-RNN

CharLSTM-RNN is a simple plug-and-play script that uses LSTM-based recurrent neural networks to generate text character-by-character. Simply link your source text and go.

CharLSTM-RNN is built on top of Theano, a parallel computing framework that will run on most GPU's.

CharLSTM-RNN was inspired by Andrej Karpathy's char-rnn (https://github.com/karpathy/char-rnn). To learn more about Recurrent Neural Networks, visit http://karpathy.github.io/2015/05/21/rnn-effectiveness/.

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CharLSTM-RNN is a simple plug-and-play script that uses LSTM-based recurrent neural networks to generate text character-by-character. Simply link your source text and go. CharLSTM-RNN is built on top of Theano, so it is easily parallelizable and will run on most GPU's. CharLSTM-RNN was inspired by Andrej Karpathy's char-rnn (https://github.com/k…

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