What is this?
Caffe is a deep learning framework focused on expression, speed and modularity, built by Berkeley AI Research (BAIR) and the Berkeley Vision and Learning Center (BVLC) with community contributors.
Caffe is a deep learning framework focused on expression, speed and modularity, built by Berkeley AI Research (BAIR) and the Berkeley Vision and Learning Center (BVLC) with community contributors.Is this a ready-to-use app or a framework I build on top of?It is a deep learning framework written in C++: you define network architectures and training setups and Caffe provides the computation engine, rather than being a finished application.
It is a deep learning framework written in C++: you define network architectures and training setups and Caffe provides the computation engine, rather than being a finished application.How do I get Caffe running?Follow the installation instructions and step-by-step examples linked from the project site; the README does not describe a single-command package manager install.
Follow the installation instructions and step-by-step examples linked from the project site; the README does not describe a single-command package manager install.Is this only for Linux with NVIDIA GPUs, or are other setups supported?Besides the main Linux build, there are official variants: Intel Caffe tuned for CPU and multi-node setups, OpenCL Caffe for AMD or Intel GPUs, and a separate Windows Caffe port.
Besides the main Linux build, there are official variants: Intel Caffe tuned for CPU and multi-node setups, OpenCL Caffe for AMD or Intel GPUs, and a separate Windows Caffe port.What is the BAIR model zoo mentioned in the docs?It is a collection of pretrained reference models from BAIR/BVLC and the wider community that you can download and use with Caffe instead of training a network from scratch.
It is a collection of pretrained reference models from BAIR/BVLC and the wider community that you can download and use with Caffe instead of training a network from scratch.Why would I cite Caffe in a paper?The README asks users to cite the 2014 arXiv paper 'Caffe: Convolutional Architecture for Fast Feature Embedding' by Jia et al. if the framework helped their research.
The README asks users to cite the 2014 arXiv paper 'Caffe: Convolutional Architecture for Fast Feature Embedding' by Jia et al. if the framework helped their research.What are similar projects?openface, CNTK, tensorflow, AirSim, DALL-E, awesome-computer-vision, DeepLearning-500-questions, models
openface, CNTK, tensorflow, AirSim, DALL-E, awesome-computer-vision, DeepLearning-500-questions, modelsWhich topics is it in?vision, pretrained-models, academic, neural-network, artificial-intelligence, bsd, deprecated, cpp, computer-vision, c++, documentation, tutorial
vision, pretrained-models, academic, neural-network, artificial-intelligence, bsd, deprecated, cpp, computer-vision, c++, documentation, tutorial