Caffe | Deep Learning Framework
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Caffe is used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia.
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Website Key Features
Expressive Architecture
Caffe's architecture 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.
Extensible Code
Caffe is developed with active contributors and a community that supports and advances the framework. New models and layers are added by the community, making it a constantly evolving tool.
Speed
Caffe is one of the fastest deep learning frameworks available. It can process over 60M images per day with a single NVIDIA K40 GPU.
Community
Caffe has a large and active community of users and developers. This community contributes to the framework's development, provides support, and shares models and best practices.
Pre-trained Models
Caffe provides access to a wide range of pre-trained models that can be used for various tasks, including image classification, segmentation, and more. This allows users to leverage state-of-the-art models without the need for extensive training.
Additional information
License
Caffe is released under the BSD 2-Clause license.
Contributors
Caffe has been developed with contributions from a wide range of individuals and organizations, including the Berkeley Vision and Learning Center (BVLC) and many others from the global community.
Applications
Caffe is used in a variety of applications, from academic research to industrial applications in areas such as computer vision, speech recognition, and multimedia.
Documentation
Caffe provides comprehensive documentation, including tutorials, API documentation, and a model zoo, to help users get started and make the most out of the framework.
Performance
Caffe is known for its high performance, especially in tasks related to image classification and segmentation. It is optimized for both CPU and GPU computing.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for caffe.berkeleyvision.org