caffe-master

所属分类:人工智能/神经网络/深度学习
开发工具:Visual C++
文件大小:6387KB
下载次数:136
上传日期:2014-11-20 22:22:48
上 传 者lusoandso
说明:  卷积神经网络的一种开源代码,可以对图像数据库自动提取特征
(one open source code of CNN which can extract features other image dataset.)

文件列表:
.Doxyfile (101863, 2014-10-21)
.travis.yml (1325, 2014-10-21)
CMakeLists.txt (2659, 2014-10-21)
CMakeScripts (0, 2014-10-21)
CMakeScripts\FindAtlas.cmake (1567, 2014-10-21)
CMakeScripts\FindGFlags.cmake (1315, 2014-10-21)
CMakeScripts\FindGlog.cmake (1255, 2014-10-21)
CMakeScripts\FindLAPACK.cmake (6723, 2014-10-21)
CMakeScripts\FindLMDB.cmake (1015, 2014-10-21)
CMakeScripts\FindLevelDB.cmake (1398, 2014-10-21)
CMakeScripts\FindMKL.cmake (3553, 2014-10-21)
CMakeScripts\FindOpenBLAS.cmake (1539, 2014-10-21)
CMakeScripts\FindSnappy.cmake (700, 2014-10-21)
CMakeScripts\lint.cmake (1450, 2014-10-21)
CONTRIBUTORS.md (620, 2014-10-21)
INSTALL.md (197, 2014-10-21)
LICENSE (2083, 2014-10-21)
Makefile (20357, 2014-10-21)
Makefile.config.example (2602, 2014-10-21)
caffe.cloc (1180, 2014-10-21)
data (0, 2014-10-21)
data\cifar10 (0, 2014-10-21)
data\cifar10\get_cifar10.sh (504, 2014-10-21)
data\ilsvrc12 (0, 2014-10-21)
data\ilsvrc12\get_ilsvrc_aux.sh (582, 2014-10-21)
data\mnist (0, 2014-10-21)
data\mnist\get_mnist.sh (764, 2014-10-21)
docs (0, 2014-10-21)
docs\CNAME (25, 2014-10-21)
docs\_config.yml (131, 2014-10-21)
docs\_layouts (0, 2014-10-21)
docs\_layouts\default.html (1787, 2014-10-21)
docs\development.md (6607, 2014-10-21)
docs\images (0, 2014-10-21)
docs\images\GitHub-Mark-64px.png (2625, 2014-10-21)
docs\index.md (6105, 2014-10-21)
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--- name: BVLC Reference RCNN ILSVRC13 Model caffemodel: bvlc_reference_rcnn_ilsvrc13.caffemodel caffemodel_url: http://dl.caffe.berkeleyvision.org/bvlc_reference_rcnn_ilsvrc13.caffemodel license: non-commercial sha1: bdd8abb885819cba5e2fe1eb36235f2319477e*** caffe_commit: a7e397abbda52c0b90323c23ab95bdeabee90a*** --- The pure Caffe instantiation of the [R-CNN](https://github.com/rbgirshick/rcnn) model for ILSVRC13 detection. This model was made by transplanting the R-CNN SVM classifiers into a `fc-rcnn` classification layer, provided here as an off-the-shelf Caffe detector. Try the [detection example](http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/detection.ipynb) to see it in action. *N.B. For research purposes, make use of the official R-CNN package and not this example.* ## License The data used to train this model comes from the ImageNet project, which distributes its database to researchers who agree to a following term of access: "Researcher shall use the Database only for non-commercial research and educational purposes." Accordingly, this model is distributed under a non-commercial license.

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