Paper Info
Title
Large-Scale Deep Learning For Building Intelligent Computer Systems.
Abstract
For the past five years, the Google Brain team has focused on conducting research in difficult problems in artificial intelligence, on building large-scale computer systems for machine learning research, and, in collaboration with many teams at Google, on applying our research and systems to dozens of Google products. Our group has recently open-sourced the TensorFlow system (tensorflow.org), a system designed to easily express machine ideas, and to quickly train, evaluate and deploy machine learning systems. In this talk, I'll highlight some of the design decisions we made in building TensorFlow, discuss research results produced within our group, and describe ways in which these ideas have been applied to a variety of problems in Google's products, usually in close collaboration with other teams. This talk describes joint work with many people at Google.
Year
DOI
Venue
2016
10.1145/2835776.2835844
WSDM
Keywords
Field
DocType
Neural networks, distributed systems, machine learning, deep learning, computer vision, speech recognition, language understanding
Data mining,World Wide Web,Computer science,Google Brain,Artificial intelligence,Deep learning,Artificial neural network,Language understanding
Conference
Citations 
PageRank 
References 
3
0.43
0
Authors
1
Name
Order
Citations
PageRank
Jeffrey Dean111804457.69