Calculus

Caffe is a deep learning framework developed by Berkeley AI Research, designed to facilitate the development and deployment of neural networks. It is optimized for speed, enabling rapid training and testing of models, and is highly modular, allowing users to easily customize architectures and workflows. Caffe supports multiple hardware platforms, making it suitable for research and production environments in AI infrastructure.