Work

Preventing Gradient Explosions in Gated Recurrent Units

Year: 2017

Type: article

Source: neural information processing systems

Authors: Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura

Institutions: Keio University, NTT (Japan)

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2752813595

FWCI: 3.607

Cites: 23

Cited by: 89

Related to: 10