TensorFlow implementation of char-rnn using Multi-layer Recurrent Neural Networks.
- Install TensorFlow
- Put the data (to train on) in a file called 'data.txt'
- Make
model
folder by runningmkdir model
- Run
python train.py --input_dir=path_to_folder_containing_data.txt
- For example, if data is in
input
folder, runpython train.py --input_dir=input
- To generate text using a checkpointed model, run
python generate.py
- All supported arguments can be seen in here
- TensorFlow Recurrent Neural Networks
- Andrej Karpathy's char-rnn
- sherjilozair's char-rnn