申请试用
HOT
登录
注册
 
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reboot
/
发布于
/
2159
人观看
In this paper we compare different types of recurrent units in recurrent neural networks (RNNs). Especially, we focus on more sophisticated units that implement a gating mechanism, such as a long short-term memory (LSTM) unit and a recently proposed gated recurrent unit (GRU). We evaluate these recurrent units on the tasks of polyphonic music modeling and speech signal modeling. Our experiments revealed that these advanced recurrent units are indeed better than more traditional recurrent units such as tanh units. Also, we found GRU to be comparable to LSTM
9点赞
4收藏
0下载
相关推荐
确认
3秒后跳转登录页面
去登陆