David Soergel

According to our database, David Soergel authored at least 2 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

TensorFlow.js: Machine Learning For The Web and Beyond.

Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viégas, Martin Wattenberg

Proceedings of Machine Learning and Systems 2019, 2019

2017

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks.

Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017