caffe

by BVLC · Machine Learning

Caffe: a fast open framework for deep learning.

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Machine LearningAI ApplicationC++Python
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About this project

Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors. Check out the project site for all the details like — DIY Deep Learning for Vision with Caffe — Tutorial Documentation — BAIR reference models and the community model zoo — Installation instructions and step-by-step examples. Custom distributions — Intel Caffe (Optimized for CPU and support for multi-node), in particular Intel® Xeon processors. — OpenCL Caffe e.g. for AMD or Intel devices. — Windows Caffe Community Please join the caffe-users group or gitter chat…

Technologies

PythonC++deep-learningCudaCMakemachine-learningMATLABvision

Project health

Inactive for over a year
Last update2 years ago
Contributors255
Latest release1.0
Open issues & PRs1,175
LicenseOther
On GitHubsince 2013

GitHub

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BVLC
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