Using Different RNN Variants to Generate Realist Reviews
Wuwei Ma, Jingwei Wu · 2020
This project aims to implement LSTM and GRU to generate realistic text. First, some basic background information will be introduced. After that, the design of models will be presented, then the performance of different RNN variants will be compared. In addition, the time consumption also as a factor of performance to compare. At last, the reason for the difference in performance will be discussed.