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This is a library implementing some basic machine learning algorithms.
Hopfield Networks
To run the demonstration, run
MachineLearning/HopfieldDemonstration.hs. It demonstrates the
training of a network on an O and an X, and shows the network
reconstructing the trained patterns from a perturbed version.
~/Code/haskell/machinelearning $ runhaskell MachineLearning/HopfieldDemonstration.hs
Training patterns
--------
|X X|
| X X |
| XX |
| XX |
| XX |
| X X |
|X X|
--------
--------
|XXXXXX|
|X X|
|X X|
|X X|
|X X|
|X X|
|XXXXXX|
--------
Validation
("Corruption error",6.3245554)
("Reproduction error",0.0)
"Original"
--------
|X X|
| X X |
| XX |
| XX |
| XX |
| X X |
|X X|
--------
"Corrupted"
--------
|X X X|
| X |
|X XXXX|
| XX |
| XXX |
| XX X |
|X XXXX|
--------
"Reproduction"
--------
|X X|
| X X |
| XX |
| XX |
| XX |
| X X |
|X X|
--------
("Corruption error",6.6332498)
("Reproduction error",0.0)
"Original"
--------
|XXXXXX|
|X X|
|X X|
|X X|
|X X|
|X X|
|XXXXXX|
--------
"Corrupted"
--------
|XXXXXX|
| X|
| X|
| X X X|
|X X |
| XX X|
|X XXXX|
--------
"Reproduction"
--------
|XXXXXX|
|X X|
|X X|
|X X|
|X X|
|X X|
|XXXXXX|
--------
