Caffe is an open source library for deep learning created by the Berkeley Vision and Learning Center. It mostly focusses on convolutional networks for computer vision applications. Caffe is a solid and popular choice for computer vision-related tasks and you can download many successful models made by Caffe users from the Caffe Model Zoo for out-of-the-box use. Like Keras, Caffe is a Python-based API. In Keras, however, models and components are objects created directly in Python code, whereas Caffe models are described by Protobuf configuration files. Either approach has its pros and cons, and converting between the two is also possible.
Caffe is an open source library for deep learning created by the Berkeley Vision and Learning Center. It mostly focusses on convolutional networks for computer vision applications. Caffe is a solid and popular choice for computer vision-related tasks and you can download many successful models made by Caffe users from the Caffe Model Zoo for out-of-the-box use. Like Keras, Caffe is a Python-based API. In Keras, however, models and components are objects created directly in Python code, whereas Caffe models are described by Protobuf configuration files. Either approach has its pros and cons, and converting between the two is also possible.
