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Caffe (software)

Caffe (software)

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

OverviewStructured DataIssuesContributors

Contents

caffe.berkeleyvision.org

Other attributes

Industry
Machine learning
Machine learning
Software development
Software development
License
BSD
Source Code
github.com/BVLC/caffe
Wikidata ID
Q29364604
Written in
C++

Caffe is a deep learning framework used for large-scale product cases. It has expression, it is fast and modular.

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.

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Further Resources

Title
Author
Link
Type
Date

Caffe: Convolutional Architecture for Fast Feature Embedding

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

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

Academic paper

References

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