Home
Meet the Team
Funding
News
Software
Publications
Recurrent-Neural-Networks
Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation
This paper proposes the Neumann-Cayley orthogonal GRU (NC-GRU), which utilizes orthogonal matrices to prevent exploding gradients and enhance long-term memory in recurrent neural networks.
Vasily Zadorozhnyy
Edison Mucllari
Cole Pospisil
Duc Nguyen
Qiang Ye
Cite
DOI
Cite
×