Caffe

Deep learning framework launched by UC Berkeley research.

Caffe (Convolutional Architecture for Fast Feature Embedding) is an open source deep learning framework originally developed by Yangqing Jia at the University of California, Berkeley.
In April 2017, Facebook released Caffe2, which includes new features such as recurrent neural network (RNN). At the end of March 2018, Caffe2 was merged into <a href=”645.html”>PyTorch</a>.