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Semantic Scholar Open Access 2018 548 sitasi

Tensor2Tensor for Neural Machine Translation

Ashish Vaswani Samy Bengio E. Brevdo François Chollet Aidan N. Gomez +8 lainnya
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Abstrak

Tensor2Tensor is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (13)

A

Ashish Vaswani

S

Samy Bengio

E

E. Brevdo

F

François Chollet

A

Aidan N. Gomez

S

Stephan Gouws

L

Llion Jones

L

Lukasz Kaiser

N

Nal Kalchbrenner

N

Niki Parmar

R

Ryan Sepassi

N

Noam Shazeer

J

Jakob Uszkoreit

Format Sitasi

APA MLA BibTeX
Vaswani, A., Bengio, S., Brevdo, E., Chollet, F., Gomez, A.N., Gouws, S. et al. (2018). Tensor2Tensor for Neural Machine Translation. https://www.semanticscholar.org/paper/642c1b4a9da95ea4239708afc5929a5007a1870d

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Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
548×
Sumber Database
Semantic Scholar
Akses
Open Access ✓