文件名称:caffe-master
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-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