Easy to use: The Caffe framework utilizes a simple and intuitive Python interface, allowing users to easily build and train neural network models.
High efficiency: The Caffe framework is implemented in C++ and has efficient computational performance, enabling quick model training and inference.
Support for large-scale models: The Caffe framework supports training large-scale deep learning models, capable of handling massive amounts of data and parameters.
Open Source: The Caffe framework is open source, allowing users to freely view and modify the source code to meet their needs.
Community Support: The Caffe framework has a vibrant community that allows users to seek help and exchange experiences.
