deep visualization neural network



B: Why Caffe over other frameworks?

We started using Caffe because it was simple to use to train networks on ImageNet and because we liked the ability to code in C++ and Python. We continue using it because it has a large active user base which tends to mean features are added from new papers quickly. The model zoo also offers a helpful place for developers to share models, and releasing our code on, and results for, such a popular framework makes it easy for the community to reproduce our results and use our code to make their own research advances.