文件名称:Image retrieval
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2017-07-06
- 文件大小：
- 296kb
- 下载次数：
- 0次
- 提 供 者：
- 张***
- 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
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
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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
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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
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Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\vl_imreadjpeg.c
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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
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Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_rootnn.m
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Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\vl_simplenn_diagnose.m
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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
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Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\utils\proto\caffe_old.proto
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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
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Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex
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Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\im2col.cpp
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