文件名称:caffe-windows-(1)

  • 所属分类:
  • 图形/文字识别
  • 资源属性:
  • [Windows] [Visual.Net] [源码]
  • 上传时间:
  • 2015-10-27
  • 文件大小:
  • 4.32mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • na***
  • 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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caffe for windows. Deep learning fr a mework can be trained for any purpose.
(系统自动生成,下载前可以参看下载内容)

下载文件列表





caffe-windows

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

.............\3rdparty

.............\........\.gitkeep

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

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

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

.............\bin

.............\...\.gitkeep

.............\build

.............\.....\MSVC

.............\.....\....\MainBuilder.sln

.............\.....\....\MainBuilder.vcxproj

.............\.....\MSVCmex

.............\.....\.......\README.txt

.............\.....\.......\bin

.............\.....\.......\...\caffe.mexw64

.............\.....\.......\matcaffe.sln

.............\.....\.......\matcaffe.vcxproj

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

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

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

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

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

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

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

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

.............\....\.gitkeep

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

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

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

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

.............\....\cifar10.md

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

.............\....\feature_extraction.md

.............\....\getting_pretrained_models.md

.............\....\imagenet_training.md

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

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

.............\....\javascripts

.............\....\...........\scale.fix.js

.............\....\mnist.md

.............\....\mnist_prototxt.md

.............\....\mnist_solver_prototxt.md

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

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

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

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

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

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

.............\........\MainCaller.cpp

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

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

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

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

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

.............\........\.......\cifar10_full_test.prototxt

.............\........\.......\cifar10_full_train.prototxt

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

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

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

.............\........\.......\cifar10_quick_test.prototxt

.............\........\.......\cifar10_quick_train.prototxt

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

.............\........\.......\create_cifar10.bat

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

.............\........\.......\get_cifar10_dataset.bat

.............\........\.......\train_full.bat

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

.............\........\.......\train_quick.bat

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

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

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

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

.............\........\imagenet

.............\........\........\create_imagenet.sh

.............\........\........\get_caffe_reference_imagenet_model.sh

.............\........\........\imagenet_deploy.prototxt

.............\........\........\imagenet_solver.prototxt

.............\........\........\imagenet_train.prototxt

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

.............\........\........\make_imagenet_mean.sh

.............\........\........\resume_training.sh

.............\........\........\train_imagenet.sh

.............\........\imagenet_pretrained.ipynb

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

.............\........\......\cat.jpg

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

.............\........\.....\convert_mnist_data.cpp

.............\........\.....\create_mnist.sh

.............\........\.....\get_mnist_leveldb.bat

.............\........\.....\lenet.prototxt

.............\........\.....\lenet_solver.prototxt

.............\........\.....\lenet_test.prototxt

.............\........\.....\lenet_train.prototxt

.............\........\.....\mnist_autoencoder_solver.prototxt

.............\........\.....\mnist_autoencoder_test.prototxt

.............\........\.....\mnist_

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