Definition
A deep learning framework developed by Berkeley AI Research, optimized for speed and modularity.
Detailed Explanation
Caffe is designed for speed and expression, with a focus on computer vision and convolutional neural networks. It provides a clear separation between model representation and implementation, allowing for easy network definitions and modifications.
Use Cases
Computer vision applications, image classification systems, real-time mobile applications