Caffehttp://mloss.orgUpdates and additions to CaffeenSat, 09 Aug 2014 01:57:58 -0000Caffe 0.9999<html><p>Caffe is a deep learning framework developed with cleanliness, readability, and speed in mind. </p> <p>Clean architecture enables rapid deployment. Networks are specified in simple config files, with no hard-coded parameters in the code. Switching between CPU and GPU is as simple as setting a flag – so models can be trained on a GPU machine, and then used on commodity clusters. </p> <p>Readable &amp; modifiable implementation fosters active development. In Caffe’s first six months, it has been forked by over 300 developers on Github, and many have pushed significant changes. </p> <p>Speed makes Caffe perfect for industry use. Caffe can process over 40M images per day with a single NVIDIA K40 or Titan GPU*. That’s 5 ms/image in training, and 2 ms/image in test. We believe that Caffe is the fastest CNN implementation available. </p> <p>Community: Caffe already powers academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. There is an active discussion and support community on Github. </p></html>Yangqing Jia, BVLCSat, 09 Aug 2014 01:57:58 -0000 learningcomputer visionpattern recognitionconvolutional nets