# TensorFlow

## Papers overview

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Highly Cited

2017

Highly Cited

2017

- Journal of Machine Learning Research
- 2017

GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end. The… (More)

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2017

2017

- ArXiv
- 2017

We introduce TensorFlow Agents, an efficient infrastructure paradigm for building parallel reinforcement learning algorithms in… (More)

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2017

2017

- ArXiv
- 2017

Deep Learning (DL) algorithms have become the de facto choice for data analysis. Several DL implementations – primarily limited… (More)

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2017

2017

- GECCO
- 2017

Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from… (More)

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Highly Cited

2016

Highly Cited

2016

- OSDI
- 2016

TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow… (More)

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2016

2016

- ICFP
- 2016

TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. Its computational model… (More)

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2016

2016

- ArXiv
- 2016

Machine Learning and Data Mining (MLDM) algorithms are becoming increasingly important in analyzing large volume of data… (More)

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Review

2016

Review

2016

- ArXiv
- 2016

Deep learning is a branch of artificial intelligence employing deep neural network architectures that has significantly advanced… (More)

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2016

2016

- 2016

In this thesis, we present an implementation of two different neural network models for phonetic classification in TensorFlow… (More)

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Highly Cited

2015

Highly Cited

2015

- ArXiv
- 2015

Martı́n Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean… (More)

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