Construct · 1 fields · 1 citations

Hopfield network: a standalone construct

One name. One construct. A landmark on the map.

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Hopfieldnetwork1 CONSTRUCTHopfield networkHOPFIELD · MACHINE LEARNING

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Machine learning

a recurrent network of binary units with symmetric connections whose dynamics settle into stored patterns, acting as content-addressable memory.

In machine learning, Hopfield network refers to a recurrent network of binary units with symmetric connections whose dynamics settle into stored patterns, acting as content-addressable memory. This meaning comes from Hopfield (1982) in Proceedings of the National Academy of Sciences.[1]

Unit
Recovery means
Measured by

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Nearby constructs

dynamics3 fields · 3 citationsjingle · one word, three constructslearning6 fields · 14 citationsjingle · one name, six constructsmemory6 fields · 18 citationsjingle · one name, six constructs

References

  1. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, 79(8), 2554-2558. https://doi.org/10.1073/pnas.79.8.2554

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