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A general-purpose encoder-decoder framework for Tensorflow
tensorflowtranslationmachine-translationneural-networkdeeplearning
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mars 2017sept. 2018avr. 2020nov. 2021juin 2023déc. 2024juil. 2026
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pip install seq2seqREADME
A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.
The official code used for the Massive Exploration of Neural Machine Translation Architectures paper.
If you use this code for academic purposes, please cite it as:
@ARTICLE{Britz:2017,
author = {{Britz}, Denny and {Goldie}, Anna and {Luong}, Thang and {Le}, Quoc},
title = "{Massive Exploration of Neural Machine Translation Architectures}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprinttype = {arxiv},
eprint = {1703.03906},
primaryClass = "cs.CL",
keywords = {Computer Science - Computation and Language},
year = 2017,
month = mar,
}
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