{"id":23093129,"url":"https://github.com/ajtulloch/hopfield-networks","last_synced_at":"2025-10-21T13:55:35.377Z","repository":{"id":11988563,"uuid":"14564508","full_name":"ajtulloch/hopfield-networks","owner":"ajtulloch","description":"Hopfield Networks for unsupervised learning in 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Recognition"],"readme":"Hopfield Networks in Haskell\n============================\n\n[Hopfield Networks][] are a simple form of neutral network, that can\nbe understood as a simplified model of memory.\n\nThis implementation is based on the description in\n[Information Theory, Inference, and Learning Algorithms][] by David\nMacKay, and [John Myles White's][] Julia implementation on Hopfield\nnetworks on [GitHub][].\n\n\nInstallation\n------------\n\n    cabal install hopfield-networks\n\nDemonstration\n-------------\n\nIf your `cabal` binary directory is in your `$PATH`, you can directly\nrun a demonstration.\n\n    $ hopfield_demonstration\n    Training patterns\n    --------\n    |X    X|\n    | X  X |\n    |  XX  |\n    |  XX  |\n    |  XX  |\n    | X  X |\n    |X    X|\n    --------\n    --------\n    |XXXXXX|\n    |X    X|\n    |X    X|\n    |X    X|\n    |X    X|\n    |X    X|\n    |XXXXXX|\n    --------\n    Validation\n    (\"Corruption error\",4.8989797)\n    (\"Reproduction error\",0.0)\n    \"Original\"\n    --------\n    |X    X|\n    | X  X |\n    |  XX  |\n    |  XX  |\n    |  XX  |\n    | X  X |\n    |X    X|\n    --------\n    \"Corrupted\"\n    --------\n    |X   XX|\n    | XX X |\n    |  XXX |\n    |  XX X|\n    |  XX  |\n    | X  X |\n    |XXX  X|\n    --------\n    \"Reproduction\"\n    --------\n    |X    X|\n    | X  X |\n    |  XX  |\n    |  XX  |\n    |  XX  |\n    | X  X |\n    |X    X|\n    --------\n    (\"Corruption error\",4.8989797)\n    (\"Reproduction error\",0.0)\n    \"Original\"\n    --------\n    |XXXXXX|\n    |X    X|\n    |X    X|\n    |X    X|\n    |X    X|\n    |X    X|\n    |XXXXXX|\n    --------\n    \"Corrupted\"\n    --------\n    |XX XXX|\n    |XX   X|\n    |X   XX|\n    |XX   X|\n    |X    X|\n    |X  X X|\n    |XXX XX|\n    --------\n    \"Reproduction\"\n    --------\n    |XXXXXX|\n    |X    X|\n    |X    X|\n    |X    X|\n    |X    X|\n    |X    X|\n    |XXXXXX|\n    --------\n\n[Hopfield Networks]: https://en.wikipedia.org/wiki/Hopfield_network\n[GitHub]: https://github.com/johnmyleswhite/HopfieldNets.jl/\n[John Myles White's]: johnmyleswhite.com\n[Information Theory, Inference, and Learning Algorithms]: http://www.inference.phy.cam.ac.uk/itila/\n\n\n[![Bitdeli Badge](https://d2weczhvl823v0.cloudfront.net/ajtulloch/hopfield-networks/trend.png)](https://bitdeli.com/free \"Bitdeli Badge\")\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajtulloch%2Fhopfield-networks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fajtulloch%2Fhopfield-networks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fajtulloch%2Fhopfield-networks/lists"}