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GitHub - DongjunLee/char-rnn-tensorflow: Multi-layer Recurrent Neural Networks f...
source link: https://github.com/DongjunLee/char-rnn-tensorflow
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char-rnn
This code implements multi-layer Recurrent Neural Network (RNN, LSTM, and GRU) for training/sampling from character-level language models.
Requirements
- Python 3.6
- TensorFlow 1.4
- hb-config
Features
Using Higher-APIs in TensorFlow
- Korean SamhangSi (like acrostic poem)
Config
example: check_tiny.yml
data: data_dir: 'data/tiny_lyricskor' model: batch_size: 4 input_keep_prob: 0.8 log_dir: 'logs' num_layers: 1 output_keep_prob: 0.8 rnn_size: 64 seq_length: 20 train: train_steps: 10000 model_dir: 'tiny_checkpoints' save_every: 1 learning_rate: 0.001 loss_hook_n_iter: 100 check_hook_n_iter: 1000 min_eval_frequency: 100
Usage
First, check if the model is valid.
python main.py --config check_tiny --mode train
Then, train the model
python main.py --config kor_ballad --mode train_and_evaluate
After training, generate Korean Samhangsi.
python generator.py --config kor_ballad --word 삼행시
Samhangsi Examples
삼이야 그리움이 좇아 사랑은늘 도망가
행른 잊어버리고 그대 이 세상
시제 너의 곁을 떠나면 빗물에 꽃씨하나 흘러가듯
기를 바라보네 두 손 잡고 고개 끄덕여 달라 하기에
계 울고 싶어 내 맘을 떠나가던 날
여도 지금하럼 커피는 날개니
름다웠던 그대모습 다시 볼 수 없는것 알아요
커나가 그래 돌아서 눈 감으면 잊을까
피고 내가 가고 싶지 아파 만날 날 기다려왔어
Example with kino-bot
Reference
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