papers
Publications (3)
cs.DC2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
MartÃn Abadi, Ashish Agarwal, Paul Barham +37
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed…
cs.LG2012
Building high-level features using large scale unsupervised learning
Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga +5
We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it possible to learn a face detector using only unlabeled…
cs.DC2016
TensorFlow: A system for large-scale machine learning
MartÃn Abadi, Paul Barham, Jianmin Chen +19
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and…