Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around.

Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. It’s been used in numerous projects, from startup prototypes and academic research projects, to large scale industrial applications.

Features

  • Expressive architecture
  • Extensible code
  • Exceptional processing speed
  • Supportive community

Project Activity

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Categories

Frameworks, Libraries, Machine Learning, Deep Learning Frameworks

License

BSD License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Frameworks, C++ Libraries, C++ Machine Learning Software, C++ Deep Learning Frameworks

Registered

2020-05-07
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