卷积神经网络
所属分类：其他
开发工具：Python
文件大小：7046KB
下载次数：7
上传日期：2019-08-18 09:57:34
上 传 者：
钺璟宸0
说明： 利用Python实现卷积神经网络，适合初学者借鉴，参考。
(Using Python to realize convolution neural network is suitable for beginners to learn and refer to.)
文件列表:
caffe-recurrent-v4 (0, 2015-09-04)
caffe-recurrent-v4\.Doxyfile (101863, 2015-09-04)
caffe-recurrent-v4\.travis.yml (1621, 2015-09-04)
caffe-recurrent-v4\CMakeLists.txt (2361, 2015-09-04)
caffe-recurrent-v4\CONTRIBUTING.md (1917, 2015-09-04)
caffe-recurrent-v4\CONTRIBUTORS.md (620, 2015-09-04)
caffe-recurrent-v4\INSTALL.md (197, 2015-09-04)
caffe-recurrent-v4\LICENSE (2095, 2015-09-04)
caffe-recurrent-v4\Makefile (21386, 2015-09-04)
caffe-recurrent-v4\Makefile.config.example (3604, 2015-09-04)
caffe-recurrent-v4\caffe.cloc (1180, 2015-09-04)
caffe-recurrent-v4\cmake (0, 2015-09-04)
caffe-recurrent-v4\cmake\ConfigGen.cmake (4049, 2015-09-04)
caffe-recurrent-v4\cmake\Cuda.cmake (9903, 2015-09-04)
caffe-recurrent-v4\cmake\Dependencies.cmake (5222, 2015-09-04)
caffe-recurrent-v4\cmake\External (0, 2015-09-04)
caffe-recurrent-v4\cmake\External\gflags.cmake (1939, 2015-09-04)
caffe-recurrent-v4\cmake\External\glog.cmake (1719, 2015-09-04)
caffe-recurrent-v4\cmake\Misc.cmake (1764, 2015-09-04)
caffe-recurrent-v4\cmake\Modules (0, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindAtlas.cmake (1666, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindGFlags.cmake (1545, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindGlog.cmake (1451, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindLAPACK.cmake (6723, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindLMDB.cmake (1119, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindLevelDB.cmake (1728, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindMKL.cmake (3361, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindMatlabMex.cmake (1749, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindNumPy.cmake (2333, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindOpenBLAS.cmake (1593, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindSnappy.cmake (1071, 2015-09-04)
caffe-recurrent-v4\cmake\Modules\FindvecLib.cmake (1304, 2015-09-04)
caffe-recurrent-v4\cmake\ProtoBuf.cmake (3733, 2015-09-04)
caffe-recurrent-v4\cmake\Summary.cmake (7249, 2015-09-04)
caffe-recurrent-v4\cmake\Targets.cmake (7135, 2015-09-04)
caffe-recurrent-v4\cmake\Templates (0, 2015-09-04)
caffe-recurrent-v4\cmake\Templates\CaffeConfig.cmake.in (1736, 2015-09-04)
caffe-recurrent-v4\cmake\Templates\CaffeConfigVersion.cmake.in (377, 2015-09-04)
... ...
---
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: unrestricted
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.*
This model was trained by Ross Girshick @rbgirshick
## License
This model is released for unrestricted use.
近期下载者：
相关文件：
收藏者：