Denny Britz
First-listed author of a 2017 Google Brain study of NMT architectures; contributor to its TensorFlow framework
Denny Britz's site says Britz published several papers as part of the Google AI team, focusing on NLP, machine translation, and reinforcement learning, and now applies machine learning and reinforcement learning techniques to financial markets. Britz is the first-listed author, with equal contribution from Anna Goldie, of Massive Exploration of Neural Machine Translation Architectures (2017), listed with a Google Brain affiliation; its official code is google/seq2seq, an Apache-2.0 encoder-decoder framework for TensorFlow whose contributor listing includes Britz's GitHub account. Britz's blog also hosts tutorials such as implementing a CNN for text classification in TensorFlow.1234
Work
google/seq2seq (external site: github.com)Open-source code
Listed among the contributors to the google/seq2seq repository, a general-purpose encoder-decoder framework for TensorFlow released under the Apache 2.0 license, which its README describes as the official code for the 2017 paper on which Britz is the first-listed author.234
Massive Exploration of Neural Machine Translation Architectures (external site: arxiv.org)Published research
First-listed author (equal contribution with Anna Goldie) of a 2017 Google Brain study that analyzes NMT architecture hyperparameters across several hundred experimental runs on WMT English-to-German translation.2
Other documented roles
Roles the sources document but that are not confirmed as current.
- Listed with a Google Brain affiliation on the 2017 NMT architecture paper, Google Brain21
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