Robust high-dimensional memory-augmented neural networks

Traditional neural networks require enormous amounts of data to build their complex mappings during a slow training procedure that hinders their abilities for relearning and adapting to new data. Memory-augmented neural networks enhance neural networks with an explicit memory to overcome these issue...

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Detalles Bibliográficos
Autores principales: Karunaratne, Geethan, Schmuck, Manuel, Le Gallo, Manuel, Cherubini, Giovanni, Benini, Luca, Sebastian, Abu, Rahimi, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084980/
https://www.ncbi.nlm.nih.gov/pubmed/33927202
http://dx.doi.org/10.1038/s41467-021-22364-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084980/
https://www.ncbi.nlm.nih.gov/pubmed/33927202
http://dx.doi.org/10.1038/s41467-021-22364-0

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