Caffe on both Linux and Windows

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Clemens Korner 41986fbcff use plt namespace for imshow in filter_visualization.ipynb		2014-08-13 10:34:23 -07:00
data	[example] image classification web demo	2014-07-11 23:41:12 -07:00
docs	[docs] sorting of examples. if doesn’t work for you, update jekyll.	2014-08-11 15:18:45 -07:00
examples	use plt namespace for imshow in filter_visualization.ipynb	2014-08-13 10:34:23 -07:00
include/caffe	Fix the gflags namespace issue	2014-08-09 14:22:17 -07:00
matlab/caffe	Painless binary mean conversion to matlab matrices.	2014-08-06 22:27:13 -07:00
python	default raw_scale in python scripts to ImageNet model value	2014-08-11 10:14:46 -07:00
scripts	[docs] fix find complaint in example gathering script	2014-08-08 12:04:08 -07:00
src	Fixed the GPU implementation of EuclideanLoss to report the loss to the top layer	2014-08-13 08:56:43 -07:00
tools	Fix the gflags namespace issue	2014-08-09 14:22:17 -07:00
.gitignore	back-merging [docs] changes and web demo [example] addition; updating	2014-07-12 09:25:23 -07:00
.travis.yml	Only install the minimal CUDA subpackages necessary for building.	2014-07-27 20:30:13 -07:00
CONTRIBUTORS.md	clarify the license and copyright terms of the project	2014-08-06 18:35:29 -07:00
INSTALL.md	replace bundled install instructions with link to site	2014-02-10 15:31:59 -08:00
LICENSE	clarify the license and copyright terms of the project	2014-08-06 18:35:29 -07:00
Makefile	Add "lintclean" target to remove current lint outputs -- forces lint to	2014-08-04 21:26:17 -07:00
Makefile.config.example	use /usr instead of /usr/local for default Python include/lib	2014-07-18 16:15:02 -07:00
README.md	[docs] readme	2014-07-09 15:07:42 -07:00
caffe.cloc	linecount improvement	2013-11-12 14:31:09 -08:00

README.md

Caffe

Caffe is a deep learning framework developed with cleanliness, readability, and speed in mind.
Consult the project website for all documentation.