nevmenandr
/

char-based-tensorflow-russian-prose-plungian

Text Generation

natural-language-processing

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nevmenandr commited on Sep 5

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@@ -9,7 +9,7 @@ tags:
   - lstm
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-This model is trained in 2016 with TensorFlow as character-based. Russian scientific prose by [Vladimir Plungian](https://en.wikipedia.org/wiki/Vladimir_Plungian) served as the train corpus.
 Model trained for 50 epochs and has 2 layers and 1600 neurons. Loss = 0.4.

   - lstm
 ---
+This model is trained in 2016 with TensorFlow as character-based. Russian scientific prose by the linguist [Vladimir Plungian](https://en.wikipedia.org/wiki/Vladimir_Plungian) served as the train corpus.
 Model trained for 50 epochs and has 2 layers and 1600 neurons. Loss = 0.4.