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Utilizing recurrent neural network as transformation from string to vector with preservation of the metric

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josdas/Fuzzy-transform

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The way for utilizing neural network as transformation from string to vector.

The distance between two vectors is similar to Levenshtein. This method can be used to draw words on a plot.

I used recurent neural network. It lets process letters one by one.

The traning process:

  1. Take two random words
  2. Calc Levenshtein distance between words (L)
  3. Calc distance between vectors after transformation (D)
  4. Lets take such position that minimize (L - D)^2
  5. Start back propogetion for that position

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Utilizing recurrent neural network as transformation from string to vector with preservation of the metric

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