文件名称:caffe-master

  • 所属分类:
  • 图形/文字识别
  • 资源属性:
  • [C/C++] [源码]
  • 上传时间:
  • 2014-11-20
  • 文件大小:
  • 6.24mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 卢**
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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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.
(系统自动生成,下载前可以参看下载内容)

下载文件列表





caffe-master

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

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

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

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

............\CMakeScripts

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

............\....\index.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

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

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

............\........\.......\cifar10_full.prototxt

............\........\.......\cifar10_full_solver.prototxt

............\........\.......\cifar10_full_solver_lr1.prototxt

............\........\.......\cifar10_full_solver_lr2.prototxt

............\........\.......\cifar10_full_train_test.prototxt

............\........\.......\cifar10_quick.prototxt

............\........\.......\cifar10_quick_solver.prototxt

............\........\.......\cifar10_quick_solver_lr1.prototxt

............\........\.......\cifar10_quick_train_test.prototxt

............\........\.......\convert_cifar_data.cpp

............\........\.......\create_cifar10.sh

............\........\.......\readme.md

............\........\.......\train_full.sh

............\........\.......\train_quick.sh

............\........\classification.ipynb

............\........\detection.ipynb

............\........\feature_extraction

............\........\..................\imagenet_val.prototxt

............\........\..................\readme.md

............\........\filter_visualization.ipynb

............\........\finetune_flickr_style

............\........\.....................\assemble_data.py

............\........\.....................\flickr_style.csv.gz

............\........\.....................\readme.md

............\........\finetune_pascal_detection

............\........\.........................\pascal_finetune_solver.prototxt

............\........\.........................\pascal_finetune_trainval_test.prototxt

............\........\hdf5_classification.ipynb

............\........\hdf5_classification

............\........\...................\solver.prototxt

............\........\...................\solver2.prototxt

............\........\...................\train_val.prototxt

............\........\...................\tra

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