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Caffe | Deep Learning Framework
Caffe is an open-source deep learning framework that lets you build, train, and deploy neural networks for computer vision and other AI tasks.
Build and train deep learning models easily
Caffe is an open-source deep learning framework developed by the Berkeley Vision and Learning Center. It’s designed for people who want to build, train, and deploy neural networks, especially for computer vision applications like image classification and recognition.
With Caffe, you can quickly set up models, experiment with different architectures, and fine-tune for your own projects. The site provides resources, documentation, and links to a supportive user community, making it easier to get started with deep learning, whether you’re a researcher, student, or developer.
If you’re interested in exploring AI, Caffe gives you the tools and flexibility to work on a wide range of machine learning tasks. You’ll find guides, examples, and a strong open-source community to help you along the way.
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