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ARCHIVED BLIP
Please be aware that we have archived this blip and are no longer actively keeping the information updated. The current edition of the radar only features items that we feel are new or noteworthy.Understand more
Nov 2017
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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.

Mar 2017
assess?

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.