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#

names-classification

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This project trains a few thousand names from 18 languages of origin and predicts which language a name is based on the spelling. It uses a character-level LSTM model to predict the next character. The model reads words as a series of characters and outputs a prediction and a "hidden state" at each step, feeding its previous hidden state into ea...

  • Updated Sep 22, 2020
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