Search Results for author: Mingsheng Hong

Found 2 papers, 2 papers with code

TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

1 code implementation • 27 Feb 2019 • Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai

TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production.

BIG-bench Machine Learning

187,312

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Code

Mesh-TensorFlow: Deep Learning for Supercomputers

1 code implementation • NeurIPS 2018 • Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake Hechtman

We use Mesh-TensorFlow to implement an efficient data-parallel, model-parallel version of the Transformer sequence-to-sequence model.

Ranked #12 on Language Modelling on One Billion Word

Deep Learning Language Modeling +1

1,598

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Code

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