A RNN model to automatically generate Chinese ancient poems with the input of start words. The idea is inspired by Weiyi Zheng's tangshi-rnn and Andrej Karpathy's Char-RNN.

1)             2)             3)             4)
白鹭窥鱼立，    一夜北风紧，    迟日江山丽，     去年今日此门中，
梅花晚少寒。    空山风雨寒。    无人入梦新。     白发春风未可怜。
青山犹出处，    山中有秋竹，    风霜独有路，     一笑一声天下去，
新月未无花。    风月更清香。    一月几人多。     自思春意又人心。
世事如收去，
相逢未自知。

python main.py '一夜北风紧，' -p 100

Train a model If no available one exists or just load it and use the model to make poems. Generate a word2vec model and use the result to init the embedding layer weights of the rnn model. The model stacked 2 LSTM modules, each with 512 neurons. And 0.2 dropout rate while training. Please view the code to get more details.

Only use a small part of Quan-Tang-Shi and Quan-Song-Shi.

A lot, such as adding rhythm.