Caffe (deep learning framework)

Caffe is an open-source software framework designed for building and training deep learning models, primarily in computer vision tasks like recognizing images. It provides a flexible and efficient way to define neural networks, allowing researchers and developers to quickly experiment with different architectures. Caffe is optimized for speed, making it suitable for both research and deployment. It uses configuration files to describe models, facilitating easy modifications. Overall, Caffe streamlines the process of creating intelligent systems that can interpret visual data, enabling applications such as image classification, object detection, and more.