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https://github.com/imdeepmind/generatingtextwithlstm
The aim of this project is to generate text using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models that are used for learning sequenced data. Here a LSTM model is trained on 200 million samples, and the idea is that after training on 200 million samples, it should be able to generate text.
https://github.com/imdeepmind/generatingtextwithlstm
deep-learning keras lstm-model machine-learning python recurrent-neural-networks text-generation
Last synced: 27 days ago
JSON representation
The aim of this project is to generate text using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models that are used for learning sequenced data. Here a LSTM model is trained on 200 million samples, and the idea is that after training on 200 million samples, it should be able to generate text.
- Host: GitHub
- URL: https://github.com/imdeepmind/generatingtextwithlstm
- Owner: imdeepmind
- Created: 2019-08-06T14:52:04.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-28T09:08:27.000Z (over 4 years ago)
- Last Synced: 2023-03-05T10:34:05.873Z (over 1 year ago)
- Topics: deep-learning, keras, lstm-model, machine-learning, python, recurrent-neural-networks, text-generation
- Language: Python
- Homepage:
- Size: 12.8 MB
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 0