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Caffe (software)

Caffe (software)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

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BSD
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C++
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Further reading

Author
Title
Link
Type

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev,Jonathan Long, Ross Girshick, Sergio Guadarrama and Trevor Darrell

Caffe: Convolutional Architecture for Fast Feature Embedding

https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdfhttps://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf

Academic paper

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Further reading

Author
Title
Link
Type

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev,Jonathan Long, Ross Girshick, Sergio Guadarrama and Trevor Darrell

Caffe: Convolutional Architecture for Fast Feature Embedding

https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf

Academic Paperpaper

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Academic papers

Author
Title
Link

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev,Jonathan Long, Ross Girshick, Sergio Guadarrama and Trevor Darrell

Caffe: Convolutional Architecture for Fast Feature Embedding

https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf

Further reading

Author
Title
Link
Type

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev,Jonathan Long, Ross Girshick, Sergio Guadarrama and Trevor Darrell

Caffe: Convolutional Architecture for Fast Feature Embedding

https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf

Academic Paper

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Melanie Manipula"added content and academic paper"
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Article

Caffe is a deep learning framework used for large-scale product cases. It useshas C++expression, asit itsis codebasefast and modular. Caffe was first used for conventional convolutional neural network (CNN) applications.

Its framework is BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general purpose convolutional neural networks.

Yangqing Jia created Caffe and Berkeley AI Research (BAIR) together with community contributors developed Caffe.

Caffe powers ongoing research projects, large-scale industrial applications and startup prototypes in vision, speech, and multimedia.

Academic papers

Author
Title
Link

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev,Jonathan Long, Ross Girshick, Sergio Guadarrama and Trevor Darrell

Caffe: Convolutional Architecture for Fast Feature Embedding

https://ucb-icsi-vision-group.github.io/caffe-paper/caffe.pdf

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Melanie Manipula
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Article

Caffe is an open source deep learning framework written in C++, with a Python interface. Developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license 18 April 2017.

Expressive structure encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then expand to commodity clusters or mobile devices.

Caffe is a deep learning framework used for large-scale product cases. It uses C++ as its codebase. Caffe was first used for conventional convolutional neural network (CNN) applications.

Melanie Manipula"minor edit"
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Article

Caffe is aan open source deep learning framework. An open source and written in C++, with a Python interface. Developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license 18 April 2017.

Edits on 27 Jan, 2018
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Caffe (software)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Edits on 12 Jan, 2018
Melanie Manipula
Melanie Manipula edited on 12 Jan, 2018
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Article

Caffe is a deep learning framework. It is open source and written in C++, with a Python interface.

ItCaffe is developeda deep learning framework. An open source and written in C++, with a Python interface. Developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license 18 April 2017.

...

Expressive structure encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deployexpand to commodity clusters or mobile devices.

Edits on 9 Jan, 2018
Melanie Manipula
Melanie Manipula edited on 9 Jan, 2018
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Topic thumbnail

Caffe (software)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Article

Caffe is a deep learning framework. It is open source and written in C++, with a Python interface.

It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.

...

Expressive structure encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices.

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Golden AI"Initial topic creation"
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 Caffe (software)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

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