CDN加速镜像 | 设为首页 | 加入收藏夹
当前位置: 首页 资源下载 源码下载 数值算法/人工智能 人工智能/神经网络/遗传算法

文件名称:Image retrieval

介绍说明--下载内容来自于网络,使用问题请自行百度

基于内容的图像查询,采用卷积神经网络,CNN代码使用了matconvnet工具包,包括代码和实验报告。(Content based image query, using convolutional neural networks, CNN code, using the matconvnet toolkit, including code and experimental reports.)
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Pro_4_SA16174017_张凡
Pro_4_SA16174017_张凡\codes
Pro_4_SA16174017_张凡\codes\cnn_train.m
Pro_4_SA16174017_张凡\codes\data
Pro_4_SA16174017_张凡\codes\data\proj4_data
Pro_4_SA16174017_张凡\codes\data\proj4_data\getimdb.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\.gitignore
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\COPYING
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\cnn_train.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\evaluation.asv
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\evaluation.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\get_res.asv
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\get_res.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\test.asv
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\test_nn.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\Makefile
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\project.pbxproj
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\project.xcworkspace
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\project.xcworkspace\contents.xcworkspacedata
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata\xcschemes
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata\xcschemes\matconv no gpu.xcscheme
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata\xcschemes\matconv.xcscheme
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\im2col.obj
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\normalize.obj
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\pooling.obj
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\subsample.obj
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\vl_nnconv.mexw64
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\vl_nnnormalize.mexw64
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\vl_nnpool.mexw64
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\gpu.hpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\im2col.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\im2col.hpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\im2col_gpu.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\mexutils.h
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\nnhelper.h
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\normalize.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\normalize.hpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\normalize_gpu.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\pooling.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\pooling.hpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\pooling_gpu.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\subsample.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\subsample.hpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\subsample_gpu.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\config
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\config\mex_CUDA_glnxa64.sh
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\config\mex_CUDA_glnxa64.xml
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\config\mex_CUDA_maci64.sh
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\config\mex_CUDA_maci64.xml
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_imreadjpeg.c
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_nnconv.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_nnconv.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_nnnormalize.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_nnnormalize.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_nnpool.cpp
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_nnpool.cu
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_argparse.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_compilenn.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_imreadjpeg.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnconv.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nndropout.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnloss.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnnoffset.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnnormalize.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnpool.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnrelu.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnsoftmax.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_nnsoftmaxloss.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_rootnn.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_setupnn.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_simplenn.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_simplenn_diagnose.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_simplenn_display.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_simplenn_move.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\xtest
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\xtest\vl_testder.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\xtest\vl_testsim.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\xtest\vl_test_nnlayers.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\README.md
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\evaluate_ref_models.m
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\import-caffe.py
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\import-ref-models.sh
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\preprocess-imagenet.sh
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\caffe.proto
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\caffe_old.proto
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\caffe_old_pb2.py
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\caffe_pb2.py
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\vgg_caffe.proto
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\vgg_caffe_pb2.py

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 搜珍网是交换下载平台,只提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度。更多...
  • 本站已设置防盗链,请勿用迅雷、QQ旋风等下载软件下载资源,下载后用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或换浏览器;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*快速评论: 推荐 一般 有密码 和说明不符 不是源码或资料 文件不全 不能解压 纯粹是垃圾
*内  容:
*验 证 码:
搜珍网 www.dssz.com