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Caffe

Submitted by on Jul 15 2014 Suggest Revision
By: Yangqing Jia
From:
Paper:
Resource Type:
Code
License:
Bsd
Language:
C++,Python,Matlab,Cuda
Data Format:
Agnostic

Description

Caffe aims to provide computer vision scientists with a clean, modifiable implementation of state-of-the-art deep learning algorithms. We believe that Caffe is the fastest available GPU CNN implementation. Caffe also provides seamless switching between CPU and GPU, which allows one to train models with fast GPUs and then deploy them on non-GPU clusters. Even in CPU mode, computing predictions on an image takes only 20 ms (in batch mode).
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