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A neural Turing machine (NTM) is a recurrent neural network model of a Turing machine. The approach was published by Alex Graves et al. in 2014. NTMs combine the fuzzy pattern matching capabilities of neural networks with the algorithmic power of programmable computers.
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Explore the main themes, entities and connections around Neural Turing machine. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
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neural ntm memory network turing published ntms networks computers controller mechanisms differentiable source stable implementation 2018 algorithmic gradients nan machine
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| copying | instance of | network controller can infer simple algorithms | 0.80 | text |
| sorting | instance of | network controller can infer simple algorithms | 0.80 | text |
| and associative recall from examples alone.The authors of the original NTM paper did not publish their source code | instance of | network controller can infer simple algorithms | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.