Tensorflow implementation of char-rnn
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README.md

README.md

tf-char-rnn

TensorFlow implementation of char-rnn using Multi-layer Recurrent Neural Networks.

Usage

  • Install TensorFlow
  • Put the data (to train on) in a file called 'data.txt'
  • Make model folder by running mkdir model
  • Run python train.py --input_dir=path_to_folder_containing_data.txt
  • For example, if data is in input folder, run python train.py --input_dir=input
  • To generate text using a checkpointed model, run python generate.py
  • All supported arguments can be seen in here

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