Caffee

Caffe is a deep learning framework designed by Berkeley AI Research with a focus on speed and modularity for building neural networks. It encourages expressive architecture and was developed during the PhD of Yangqing Jia before being released under a BSD 2-Clause license. The tool is maintained by community contributors and serves researchers looking to implement complex machine learning models efficiently. Developers using Caffe can access its code directly through GitHub to study its internal structure and integration methods.