Image retrieval
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：296KB
下载次数：39
上传日期：2017-06-04 10:15:13
上 传 者：
张小凡
说明： 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.)
文件列表:
Pro_4_SA16174017_张凡 (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\cnn_train.m (9795, 2016-11-29)
Pro_4_SA16174017_张凡\codes\data (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\data\proj4_data (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\data\proj4_data\getimdb.m (1113, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8 (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\COPYING (735, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\cnn_train.m (9795, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\evaluation.asv (3021, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\evaluation.m (3026, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\get_res.asv (384, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\get_res.m (460, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\test.asv (195, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\examples\test_nn.m (287, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\Makefile (5540, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\project.pbxproj (33632, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\project.xcworkspace (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\project.xcworkspace\contents.xcworkspacedata (152, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata\xcschemes (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata\xcschemes\matconv no gpu.xcscheme (2034, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matconv.xcodeproj\xcshareddata\xcschemes\matconv.xcscheme (2020, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\im2col.obj (7885, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\normalize.obj (24163, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\pooling.obj (71843, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\.build\subsample.obj (69547, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\vl_nnconv.mexw64 (31232, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\vl_nnnormalize.mexw64 (21504, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\mex\vl_nnpool.mexw64 (23040, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits (0, 2017-01-12)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\gpu.hpp (511, 2016-11-29)
Pro_4_SA16174017_张凡\codes\matconvnet-1.0-beta8\matlab\src\bits\im2col.cpp (8667, 2016-11-29)
... ...
# MatConvNet: CNNs for MATLAB
**MatConvNet** is a MATLAB toolbox implementing *Convolutional Neural
Networks* (CNNs) for computer vision applications. It is simple,
efficient, and can run and learn state-of-the-art CNNs. Several
example CNNs are included to classify and encode images. Please visit
the [homepage](http://www.vlfeat.org/matconvnet) to know more.
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