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        "description": "# word-level-rnn\r\nWord Level RNN for text generation using keras.\r\n\r\nThis is a project with a goal to make a Word Level Text generation using keras on Theano Framework.\r\nThe code is based on the sample text generation character level code provided as a sample example at\r\nhttps://github.com/fchollet/keras/blob/master/examples/lstm_text_generation.py\r\n\r\nI tried training it on chapters of The Game of Thrones (individually, because of memory constraints), seems\r\ncoherent, please try and give me feedback.\r\n\r\n#Read This:\r\nSince the code is done at word level instead of character level, it needs more epochs than the character \r\nlevel text generation counter part, as well as much more memory because it has to be trained on thousands\r\nof words, (unlike character level code where it's only trained on 50-100 different characters (assuming \r\nASCII). \r\n\r\nWord level RNN text generation should in theory be more coherent then the Character level text generation\r\nat lesser amount of training.\r\nSuggestions and criticism are welcome to optimising and improve the code. thanks!",
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