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Caffe: Convolutional Architecture for Fast Feature Embedding

1. Caffe

https://caffe.berkeleyvision/

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. Caffe is released under the BSD 2-Clause license.

University of California, Berkeley，UC Berkeley，Berkeley，Cal or California：伯克利加利福尼亚大学，加利福尼亚大学伯克利分校，加州大学伯克利分校，伯克利大学，伯克利加大，伯克利加州大学
Berkeley Software Distribution or Berkeley Standard Distribution，BSD：伯克利软件包
clause [klɔːz]：n. 子句，从句，分句，(法律文件的) 条款
modularity [mɒdjʊ'lærɪtɪ]：n. 积木性，模块性，模组化

1.1 Caffe Model Zoo

http://caffe.berkeleyvision/model_zoo.html
https://github/BVLC/caffe/wiki/Model-Zoo

1.2 Installation

http://caffe.berkeleyvision/installation.html

2. Caffe - GitHub

https://github/BVLC/caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
Caffe 是一个兼具表达性、速度和思维模块化的深度学习框架，由 Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors 开发。

2.1 OpenCL Caffe

https://github/BVLC/caffe/tree/opencl

2.2 Intel Caffe

https://github/BVLC/caffe/tree/intel

2.3 Windows Caffe

https://github/BVLC/caffe/tree/windows

2.4 Development and Contributing

http://caffe.berkeleyvision/development.html

3. Documentation

Caffe Tutorial
http://caffe.berkeleyvision/tutorial/

Class List
http://caffe.berkeleyvision/doxygen/annotated.html

3.1 Layers

http://caffe.berkeleyvision/tutorial/layers.html

References

https://yongqiang.blog.csdn/
Caffe: Convolutional Architecture for Fast Feature Embedding

本文标签： ArchitectureConvolutionalcaffeEmbeddingfeature

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