Caffe

Caffe is an open-source deep learning framework developed by Berkeley AI Research (BAIR), designed for efficient, modular, and extensible architecture. Its strengths include fast processing capabilities, handling over 60 million images per day on a single NVIDIA K40 GPU. The framework supports seamless switching between CPU and GPU, making it suitable for academic research, startup prototypes, and large-scale industrial applications. Caffe has an active open-source community, offering rich models and optimization configurations for rapid experimentation and production deployment. However, users should note that despite its powerful features, Caffe may have a steep learning curve.