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文件名称:caffe

  • 所属分类：
  • 人工智能/神经网络/遗传算法
  • 资源属性：
  • 上传时间：
  • 2017-12-19
  • 文件大小：
  • 8.1mb
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  • 0次
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  • zzz***
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修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

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(An open source code of the convolution neural network that automatically extracts features of an image database.
(one open source code of CNN which can extract features other image dataset.))
相关搜索： 卷积神经网络
开源代码
图像数据库自动提取特征

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
caffe\.Doxyfile 101863 2016-12-07
caffe\.gitattributes 2518 2016-12-07
caffe\.gitignore 1210 2016-12-07
caffe\.travis.yml 1966 2016-12-07
caffe\appveyor.yml 719 2016-12-07
caffe\caffe.cloc 1180 2016-12-07
caffe\cmake\ConfigGen.cmake 4373 2016-12-07
caffe\cmake\Cuda.cmake 11197 2016-12-07
caffe\cmake\Dependencies.cmake 5564 2016-12-07
caffe\cmake\External\gflags.cmake 1939 2016-12-07
caffe\cmake\External\glog.cmake 1719 2016-12-07
caffe\cmake\lint.cmake 1505 2016-12-07
caffe\cmake\Misc.cmake 1764 2016-12-07
caffe\cmake\Modules\FindAtlas.cmake 1666 2016-12-07
caffe\cmake\Modules\FindGFlags.cmake 1545 2016-12-07
caffe\cmake\Modules\FindGlog.cmake 1451 2016-12-07
caffe\cmake\Modules\FindLAPACK.cmake 6723 2016-12-07
caffe\cmake\Modules\FindLevelDB.cmake 1728 2016-12-07
caffe\cmake\Modules\FindLMDB.cmake 1119 2016-12-07
caffe\cmake\Modules\FindMatlabMex.cmake 1749 2016-12-07
caffe\cmake\Modules\FindMKL.cmake 3250 2016-12-07
caffe\cmake\Modules\FindNumPy.cmake 2333 2016-12-07
caffe\cmake\Modules\FindOpenBLAS.cmake 1593 2016-12-07
caffe\cmake\Modules\FindSnappy.cmake 1071 2016-12-07
caffe\cmake\Modules\FindvecLib.cmake 1304 2016-12-07
caffe\cmake\ProtoBuf.cmake 3726 2016-12-07
caffe\cmake\Summary.cmake 7597 2016-12-07
caffe\cmake\Targets.cmake 7191 2016-12-07
caffe\cmake\Templates\CaffeConfig.cmake.in 1798 2016-12-07
caffe\cmake\Templates\CaffeConfigVersion.cmake.in 377 2016-12-07
caffe\cmake\Templates\caffe_config.h.in 804 2016-12-07
caffe\cmake\Utils.cmake 13393 2016-12-07
caffe\CMakeLists.txt 3012 2016-12-07
caffe\CONTRIBUTING.md 1917 2016-12-07
caffe\CONTRIBUTORS.md 620 2016-12-07
caffe\data\cifar10\get_cifar10.sh 506 2016-12-07
caffe\data\ilsvrc12\get_ilsvrc_aux.sh 587 2016-12-07
caffe\data\mnist\get_mnist.sh 408 2016-12-07
caffe\docker\Makefile 1328 2016-12-07
caffe\docker\README.md 3098 2016-12-07
caffe\docker\standalone\cpu\Dockerfile 1246 2016-12-07
caffe\docker\standalone\gpu\Dockerfile 1275 2016-12-07
caffe\docker\templates\Dockerfile.template 1229 2016-12-07
caffe\docs\CMakeLists.txt 4532 2016-12-07
caffe\docs\CNAME 25 2016-12-07
caffe\docs\development.md 6639 2016-12-07
caffe\docs\images\caffeine-icon.png 954 2016-12-07
caffe\docs\images\GitHub-Mark-64px.png 2625 2016-12-07
caffe\docs\index.md 6262 2016-12-07
caffe\docs\installation.md 8200 2016-12-07
caffe\docs\install_apt.md 1793 2016-12-07
caffe\docs\install_osx.md 6316 2016-12-07
caffe\docs\install_yum.md 1730 2016-12-07
caffe\docs\model_zoo.md 4878 2016-12-07
caffe\docs\multigpu.md 2811 2016-12-07
caffe\docs\performance_hardware.md 2533 2016-12-07
caffe\docs\README.md 241 2016-12-07
caffe\docs\stylesheets\pygment_trac.css 4168 2016-12-07
caffe\docs\stylesheets\reset.css 602 2016-12-07
caffe\docs\stylesheets\styles.css 4385 2016-12-07
caffe\docs\tutorial\convolution.md 683 2016-12-07
caffe\docs\tutorial\data.md 3496 2016-12-07
caffe\docs\tutorial\fig\.gitignore
caffe\docs\tutorial\fig\backward.jpg 105017 2016-12-07
caffe\docs\tutorial\fig\forward.jpg 71957 2016-12-07
caffe\docs\tutorial\fig\forward_backward.png 57267 2016-12-07
caffe\docs\tutorial\fig\layer.jpg 54757 2016-12-07
caffe\docs\tutorial\fig\logreg.jpg 42966 2016-12-07
caffe\docs\tutorial\forward_backward.md 2463 2016-12-07
caffe\docs\tutorial\index.md 3220 2016-12-07
caffe\docs\tutorial\interfaces.md 14301 2016-12-07
caffe\docs\tutorial\layers.md 19098 2016-12-07
caffe\docs\tutorial\loss.md 2783 2016-12-07
caffe\docs\tutorial\net_layer_blob.md 13260 2016-12-07
caffe\docs\tutorial\solver.md 18375 2016-12-07
caffe\docs\_config.yml 131 2016-12-07
caffe\docs\_layouts\default.html 2067 2016-12-07
caffe\examples\00-classification.ipynb 813348 2016-12-07
caffe\examples\01-learning-lenet.ipynb 376291 2016-12-07
caffe\examples\02-fine-tuning.ipynb 480501 2016-12-07
caffe\examples\brewing-logreg.ipynb 452886 2016-12-07
caffe\examples\cifar10\cifar10_full.prototxt 2174 2016-12-07
caffe\examples\cifar10\cifar10_full_sigmoid_solver.prototxt 953 2016-12-07
caffe\examples\cifar10\cifar10_full_sigmoid_solver_bn.prototxt 959 2016-12-07
caffe\examples\cifar10\cifar10_full_sigmoid_train_test.prototxt 2879 2016-12-07
caffe\examples\cifar10\cifar10_full_sigmoid_train_test_bn.prototxt 3192 2016-12-07
caffe\examples\cifar10\cifar10_full_solver.prototxt 944 2016-12-07
caffe\examples\cifar10\cifar10_full_solver_lr1.prototxt 944 2016-12-07
caffe\examples\cifar10\cifar10_full_solver_lr2.prototxt 945 2016-12-07
caffe\examples\cifar10\cifar10_full_train_test.prototxt 3122 2016-12-07
caffe\examples\cifar10\cifar10_quick.prototxt 1921 2016-12-07
caffe\examples\cifar10\cifar10_quick_solver.prototxt 881 2016-12-07
caffe\examples\cifar10\cifar10_quick_solver_lr1.prototxt 882 2016-12-07
caffe\examples\cifar10\cifar10_quick_train_test.prototxt 3088 2016-12-07
caffe\examples\cifar10\convert_cifar_data.cpp 3677 2016-12-07
caffe\examples\cifar10\create_cifar10.sh 467 2016-12-07
caffe\examples\cifar10\readme.md 5243 2016-12-07
caffe\examples\cifar10\train_full.sh 530 2016-12-07
caffe\examples\cifar10\train_full_sigmoid.sh 139 2016-12-07
caffe\examples\cifar10\train_full_sigmoid_bn.sh 142 2016-12-07

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