Hybrid computing using a neural network with dynamic external memory
Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to represent variables and data structures and to store data over long timescales, owing to the lack of an external memory. Here we introduce a machin...
المؤلفون الرئيسيون: | Graves, A, Wayne, G, Reynolds, M, Harley, T, Danihelka, I, Grabska-Barwińska, A, Colmenarejo, S, Grefenstette, E, Ramalho, T, Agapiou, J, Badia, A, Hermann, K, Zwols, Y, Ostrovski, G, Cain, A, King, H, Summerfield, C, Blunsom, P, Kavukcuoglu, K, Hassabis, D |
---|---|
التنسيق: | Journal article |
اللغة: | English |
منشور في: |
Nature Publishing Group
2016
|
مواد مشابهة
-
"Not not bad" is not "bad": A distributional account of negation
حسب: Hermann, K, وآخرون
منشور في: (2013) -
New Directions in Vector Space Models of Meaning
حسب: Grefenstette, E, وآخرون
منشور في: (2014) -
A Deep Architecture for Semantic Parsing
حسب: Grefenstette, E, وآخرون
منشور في: (2014) -
Marrying on credit: the burden of bridewealth on refugee youth
حسب: Grabska, K
منشور في: (2012) -
Semantic parsing with semi-supervised sequential autoencoders
حسب: Kočiský, T, وآخرون
منشور في: (2016)