What is Caffe?
Caffe is a deep learning framework designed to prioritize expression, speed, and modularity. It provides a flexible architecture that enables efficient model training and deployment, catering to a wide range of deep learning applications. The framework's modular design facilitates customization, allowing users to adapt and extend its capabilities to suit their specific project requirements. Caffe's open-source nature encourages collaboration and contribution from a diverse community of developers, researchers, and enthusiasts, continuously enhancing its functionality and expanding its reach. With a strong focus on performance, Caffe enables rapid prototyping and deployment of deep learning models, empowering users to explore and implement advanced artificial intelligence solutions
Highlights
- Modular design for customization and extensibility
- Efficient model training and deployment capabilities
- Open-source framework with a thriving community
- Supports a wide range of deep learning applications
Features
Speed
Extensible code
Community