文件名称:caffe-recurrent-v4

  • 所属分类:
  • 其他小程序
  • 资源属性:
  • [Linux] [SHELL] [源码]
  • 上传时间:
  • 2015-10-28
  • 文件大小:
  • 6.88mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 王**
  • 相关连接:
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构建神经网络,进行数据处理,包括卷积神经网络和递归神经网络-Construction of neural networks, data processing, including convolution neural networks and recurrent neural network
(系统自动生成,下载前可以参看下载内容)

下载文件列表





caffe-recurrent-v4

..................\.Doxyfile

..................\.gitignore

..................\.travis.yml

..................\CMakeLists.txt

..................\CONTRIBUTING.md

..................\CONTRIBUTORS.md

..................\INSTALL.md

..................\LICENSE

..................\Makefile

..................\Makefile.config.example

..................\README.md

..................\caffe.cloc

..................\cmake

..................\.....\ConfigGen.cmake

..................\.....\Cuda.cmake

..................\.....\Dependencies.cmake

..................\.....\External

..................\.....\........\gflags.cmake

..................\.....\........\glog.cmake

..................\.....\Misc.cmake

..................\.....\Modules

..................\.....\.......\FindAtlas.cmake

..................\.....\.......\FindGFlags.cmake

..................\.....\.......\FindGlog.cmake

..................\.....\.......\FindLAPACK.cmake

..................\.....\.......\FindLMDB.cmake

..................\.....\.......\FindLevelDB.cmake

..................\.....\.......\FindMKL.cmake

..................\.....\.......\FindMatlabMex.cmake

..................\.....\.......\FindNumPy.cmake

..................\.....\.......\FindOpenBLAS.cmake

..................\.....\.......\FindSnappy.cmake

..................\.....\.......\FindvecLib.cmake

..................\.....\ProtoBuf.cmake

..................\.....\Summary.cmake

..................\.....\Targets.cmake

..................\.....\Templates

..................\.....\.........\CaffeConfig.cmake.in

..................\.....\.........\CaffeConfigVersion.cmake.in

..................\.....\.........\caffe_config.h.in

..................\.....\Utils.cmake

..................\.....\lint.cmake

..................\data

..................\....\cifar10

..................\....\.......\get_cifar10.sh

..................\....\coco

..................\....\....\README.md

..................\....\....\download_eval_tools.sh

..................\....\....\download_tools.sh

..................\....\....\get_coco2014_aux.sh

..................\....\....\make_test.py

..................\....\....\make_trainval.py

..................\....\ilsvrc12

..................\....\........\get_ilsvrc_aux.sh

..................\....\mnist

..................\....\.....\get_mnist.sh

..................\docs

..................\....\CMakeLists.txt

..................\....\CNAME

..................\....\README.md

..................\....\_config.yml

..................\....\_layouts

..................\....\........\default.html

..................\....\development.md

..................\....\images

..................\....\......\GitHub-Mark-64px.png

..................\....\......\caffeine-icon.png

..................\....\index.md

..................\....\install_apt.md

..................\....\install_osx.md

..................\....\install_yum.md

..................\....\installation.md

..................\....\model_zoo.md

..................\....\performance_hardware.md

..................\....\stylesheets

..................\....\...........\pygment_trac.css

..................\....\...........\reset.css

..................\....\...........\styles.css

..................\....\tutorial

..................\....\........\convolution.md

..................\....\........\data.md

..................\....\........\fig

..................\....\........\...\.gitignore

..................\....\........\...\backward.jpg

..................\....\........\...\forward.jpg

..................\....\........\...\forward_backward.png

..................\....\........\...\layer.jpg

..................\....\........\...\logreg.jpg

..................\....\........\forward_backward.md

..................\....\........\index.md

..................\....\........\interfaces.md

..................\....\........\layers.md

..................\....\........\loss.md

..................\....\........\net_layer_blob.md

..................\....\........\solver.md

..................\examples

..................\........\00-classification.ipynb

..................\........\01-learning-lenet.ipynb

...........

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