MXNet

MXNet

A deep learning framework and multi-language machine learning library

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Jessica Karpinski
Jessica Karpinski edited on 13 Apr, 2019
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Golden AI"Import structured data from http://en.wikipedia.org/wiki/MXNet"
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Type

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang and Zheng Zhang

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

https://arxiv.org/pdf/1512.01274.pdfhttps://arxiv.org/pdf/1512.01274.pdf

Academic paper

Edits on 5 Jun, 2018
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Further reading

Author
Title
Link
Type

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang and Zheng Zhang

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

https://arxiv.org/pdf/1512.01274.pdf

Academic Paperpaper

Edits on 1 Jun, 2018
Golden AI"Merging standard tables"
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Academic papers

Author
Title
Link

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang and Zheng Zhang

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

https://arxiv.org/pdf/1512.01274.pdf

Further reading

Author
Title
Link
Type

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang and Zheng Zhang

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

https://arxiv.org/pdf/1512.01274.pdf

Academic Paper

Edits on 2 Feb, 2018
Carla Faraguna
Carla Faraguna edited on 2 Feb, 2018
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Article

It allows users to mix symbolic and imperative programmingimperative programming to maximize efficiency and productivity. It contains dynamic dependency scheduler that synchronizes declarative symbolic expression and imperative tensor computation. It is lightweight and embeds in multiple languages. It is scalable to different systems ranging from mobile devices to distributed GPU clusters.

Melanie Manipula
Melanie Manipula edited on 1 Feb, 2018
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MXNet

Multi-languageA deep learning framework and multi-language machine learning library

Article

MXNet is a deep learning framework and a multi-language library. It is designed to develop machine learning algorithms for deep neural networks. It is a dataset of blueprints and guidelines for creating deep learning systems.

It allows users to mix symbolic and imperative programming to maximize efficiency and productivity. It contains dynamic dependency scheduler that synchronizes declarative symbolic expression and imperative tensor computation. It is lightweight and embeds in multiple languages. It is scalable to different systems ranging from mobile devices to distributed GPU clusters.

...

MXNet is a project by Apache Software Foundation (ASF), sponsored by the Apache Incubator.

Academic papers

Author
Title
Link

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang and Zheng Zhang

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

https://arxiv.org/pdf/1512.01274.pdf

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Edits on 14 Jan, 2018
Michael Naval
Michael Naval edited on 14 Jan, 2018
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MXNet

A deep learning framework and multi-language machine learning library

Edits on 1 Jan, 2017
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 MXNet

Multi-language machine learning library

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