Abstract
Caffe is one of deep learning frameworks, and has been developed with an easy optimization, high speed, and modularity. It is also open source and has active community. Therefore, it is easy framework for beginning the deep learning because users can be rich samples and reference models. For beginning the deep learning using Caffe, this paper describes how to install Caffe, how to implement an image classification, and how to implement the classification using transfer learning.
