文件名称:caffe-master
- 所属分类:
- Internet/网络编程
- 资源属性:
- [C/C++] [源码]
- 上传时间:
- 2015-04-08
- 文件大小:
- 3.37mb
- 下载次数:
- 0次
- 提 供 者:
- 杨*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
hmm这个是很好用的饿一个hmm机器学习的caffe-hmm model
(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
............\.gitignore
............\.travis.yml
............\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
............\....\_layouts
............\....\........\default.html
............\....\development.md
............\....\getting_pretrained_models.md
............\....\images
............\....\......\GitHub-Mark-64px.png
............\....\index.md
............\....\installation.md
............\....\performance_hardware.md
............\....\stylesheets
............\....\...........\pygment_trac.css
............\....\...........\reset.css
............\....\...........\styles.css
............\examples
............\........\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
............\........\imagenet
............\........\........\alexnet_deploy.prototxt
............\........\........\alexnet_solver.prototxt
............\........\........\alexnet_train_val.prototxt
............\........\........\create_imagenet.sh
............\........\........\get_caffe_alexnet_model.sh
............\........\........\get_caffe_rcnn_imagenet_model.sh
............\........\........\get_caffe_reference_imagenet_model.sh
............\........\........\imagenet_deploy.prototxt
............\........\........\imagenet_full_conv.prototxt
............\........\........\imagenet_solver.prototxt
............\........\........\imagenet_train_val.prototxt
............\........\........\make_imagenet_mean.sh
............\........\........\rcnn_imagenet_deploy.prototxt
............\........\........\readme.md
............\........\........\resume_training.sh
............\........\........\time_imagenet.sh
............\........\........\train_alexnet.sh
............\........\........\train_imagenet.sh
............\........\images
............\........\......\cat.jpg
............\........\......\fish-bike.jpg
............\........\mnist
............\........\.....\convert_mnist_data.cpp
............\........\.....\create_mnist.sh
............\........\.....\lenet.prototxt
............\........\.....\lenet_consolidated_solver.prototxt
............\........\.....\lenet_solver.prototxt
............\........\.....\lenet_train_test.prototxt
............\........\.....\mnist_autoencoder.prototxt
............\........\.....\mnist_autoencoder_solver.prototxt
............\........\.....\readme.md
............\........\.....\train_lenet.sh
............\........\.....\train_lenet_consolidated.sh
............\........\.....\train_mnist_autoencoder.sh
............\........\net_surgery.ipynb
............\........\pascal-finetuning
............\........\.................\pascal_finetune_solver.prototxt
............\........\.................\pascal_finet