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caffe - Convolutional Architecture for Fast Feature Embedding
- Description:
Caffe is a deep learning framework made with expression, speed, and
modularity in mind. It is developed by Berkeley AI Research (BAIR) and
by community contributors. Yangqing Jia created the project during his
PhD at UC Berkeley.
@article{
jia2014caffe,
Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev,
Sergey and Long, Jonathan and Girshick, Ross and Guadarrama,
Sergio and Darrell, Trevor},
Journal = {arXiv preprint arXiv:1408.5093},
Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
Year = {2014}
}
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