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A general-purpose encoder-decoder framework for Tensorflow
tensorflowtranslationmachine-translationneural-networkdeeplearning
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März 2017Sept. 2018Apr. 2020Nov. 2021Juni 2023Dez. 2024Juli 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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