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https://github.com/nishant2018/english-french-attention-encoder-decoder
The Sequence-to-Sequence (Seq2Seq) model is a type of neural network architecture used for sequence-to-sequence learning tasks, particularly in natural language processing (NLP) and machine translation.
https://github.com/nishant2018/english-french-attention-encoder-decoder
Last synced: 3 days ago
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The Sequence-to-Sequence (Seq2Seq) model is a type of neural network architecture used for sequence-to-sequence learning tasks, particularly in natural language processing (NLP) and machine translation.
- Host: GitHub
- URL: https://github.com/nishant2018/english-french-attention-encoder-decoder
- Owner: Nishant2018
- Created: 2024-03-29T09:14:03.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-03-29T09:14:25.000Z (8 months ago)
- Last Synced: 2024-03-29T10:28:34.891Z (8 months ago)
- Language: Jupyter Notebook
- Size: 660 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# english-french-attention-encoder-decoder
The Sequence-to-Sequence (Seq2Seq) model is a type of neural network architecture used for sequence-to-sequence learning tasks, particularly in natural language processing (NLP) and machine translation.