Differentiable neural computer
A differentiable neural computer (DNC) is a machine learning model consisting of a a neural network that combines the learning and pattern-recognition strengths of deep neural networks with the ability to retain information in complex data structures.
Key facts
| Wikidata ID | Q28324912 |
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