What is the main purpose of the Caffe framework?

The main purpose of the Caffe framework is for conducting research and developing applications in deep learning. It offers a flexible and efficient way to build, train, and deploy deep learning models, which can be used in areas such as image recognition, object detection, and semantic segmentation. Additionally, Caffe supports various neural network structures and training methods, allowing users to quickly implement their own deep learning projects.

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