Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems

Gated recurrent units (GRUs) are specialized memory elements for building recurrent neural networks. Despite their incredible success on various tasks, including extracting dynamics underlying neural data, little is understood about the specific dynamics representable in a GRU network. As a result,...

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Detalles Bibliográficos
Autores principales: Jordan, Ian D., Sokół, Piotr Aleksander, Park, Il Memming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339926/
https://www.ncbi.nlm.nih.gov/pubmed/34366817
http://dx.doi.org/10.3389/fncom.2021.678158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339926/
https://www.ncbi.nlm.nih.gov/pubmed/34366817
http://dx.doi.org/10.3389/fncom.2021.678158

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