A bio-inspired bistable recurrent cell allows for long-lasting memory.
Recurrent neural networks (RNNs) provide state-of-the-art performances in a wide variety of tasks that require memory. These performances can often be achieved thanks to gated recurrent cells such as gated recurrent units (GRU) and long short-term memory (LSTM). Standard gated cells share a layer in...
Enregistré dans:
Auteurs principaux: | Nicolas Vecoven, Damien Ernst, Guillaume Drion |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/9565af3b3b774e90a0d0dff60f3f8bc0 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Bio-inspired ultra-high energy efficiency bistable electronic billboard and reader
par: Weiran Zhang, et autres
Publié: (2019) -
Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks
par: Rohit Abraham John, et autres
Publié: (2020) -
Bio-inspired reversible underwater adhesive
par: Yanhua Zhao, et autres
Publié: (2017) -
Bio-inspired self-shaping ceramics
par: Fabio L. Bargardi, et autres
Publié: (2016) -
Exosomes: Novel Bio-Inspired Nanocarriers for Efficient Targeting of Glioblastoma Tumor Cells
par: V Taghdiri Nooshabadi, et autres
Publié: (2021)