nevmenandr
/

char-based-lstm-russian-poetry-azarova

Text Generation

natural-language-processing

poetry-generation

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nevmenandr commited on Sep 5

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 This model is trained in 2017 with TensorFlow as character-based. Poems by contemporary neo-avant-garde poet Natalia Azarova served as the training corpus.
 ## Usage
 To generate new samples, run the script `sample_azarova.py`. The scripts `utils.py` and `model.py` should be in the same folder, and the `save` folder with the model files should be a subfolder (its location can be changed in the script in line 22).

 This model is trained in 2017 with TensorFlow as character-based. Poems by contemporary neo-avant-garde poet Natalia Azarova served as the training corpus.
+Model has 3 layers and 1024 neurons.
 ## Usage
 To generate new samples, run the script `sample_azarova.py`. The scripts `utils.py` and `model.py` should be in the same folder, and the `save` folder with the model files should be a subfolder (its location can be changed in the script in line 22).