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dbr:Neural_Turing_machine
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dbr:Differentiable_neural_computer
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Differentiable neural computer
rdfs:comment
In artificial intelligence, a differentiable neural computer (DNC) is a memory augmented neural network architecture (MANN), which is typically (but not by definition) recurrent in its implementation. The model was published in 2016 by Alex Graves et al. of DeepMind.
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n4:DNC_training_recall_task.gif?width=300
dbp:date
October 2017
dbp:reason
a list of equations is not a digestible description for many readers of this article
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In artificial intelligence, a differentiable neural computer (DNC) is a memory augmented neural network architecture (MANN), which is typically (but not by definition) recurrent in its implementation. The model was published in 2016 by Alex Graves et al. of DeepMind.
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