文件名称:code
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卷积神经网络的实现，未使用matlab工具包函数-Convolutional neural network implementation, not using the MATLAB toolkit function
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下载文件列表
code
....\cnn_train.m
....\matconvnet-1.0-beta8
....\....................\.gitignore
....\....................\COPYING
....\....................\examples
....\....................\........\cnn_train.m
....\....................\........\evaluation.asv
....\....................\........\evaluation.m
....\....................\........\get_res.asv
....\....................\........\get_res.m
....\....................\........\test.asv
....\....................\........\test_nn.m
....\....................\Makefile
....\....................\matconv.xcodeproj
....\....................\.................\project.pbxproj
....\....................\.................\project.xcworkspace
....\....................\.................\...................\contents.xcworkspacedata
....\....................\.................\xcshareddata
....\....................\.................\............\xcschemes
....\....................\.................\............\.........\matconv no gpu.xcscheme
....\....................\.................\............\.........\matconv.xcscheme
....\....................\matlab
....\....................\......\mex
....\....................\......\...\.build
....\....................\......\...\......\im2col.obj
....\....................\......\...\......\normalize.obj
....\....................\......\...\......\pooling.obj
....\....................\......\...\......\subsample.obj
....\....................\......\...\vl_nnconv.mexw64
....\....................\......\...\vl_nnnormalize.mexw64
....\....................\......\...\vl_nnpool.mexw64
....\....................\......\src
....\....................\......\...\bits
....\....................\......\...\....\gpu.hpp
....\....................\......\...\....\im2col.cpp
....\....................\......\...\....\im2col.hpp
....\....................\......\...\....\im2col_gpu.cu
....\....................\......\...\....\mexutils.h
....\....................\......\...\....\nnhelper.h
....\....................\......\...\....\normalize.cpp
....\....................\......\...\....\normalize.hpp
....\....................\......\...\....\normalize_gpu.cu
....\....................\......\...\....\pooling.cpp
....\....................\......\...\....\pooling.hpp
....\....................\......\...\....\pooling_gpu.cu
....\....................\......\...\....\subsample.cpp
....\....................\......\...\....\subsample.hpp
....\....................\......\...\....\subsample_gpu.cu
....\....................\......\...\config
....\....................\......\...\......\mex_CUDA_glnxa64.sh
....\....................\......\...\......\mex_CUDA_glnxa64.xml
....\....................\......\...\......\mex_CUDA_maci64.sh
....\....................\......\...\......\mex_CUDA_maci64.xml
....\....................\......\...\vl_imreadjpeg.c
....\....................\......\...\vl_nnconv.cpp
....\....................\......\...\vl_nnconv.cu
....\....................\......\...\vl_nnnormalize.cpp
....\....................\......\...\vl_nnnormalize.cu
....\....................\......\...\vl_nnpool.cpp
....\....................\......\...\vl_nnpool.cu
....\....................\......\vl_argparse.m
....\....................\......\vl_compilenn.m
....\....................\......\vl_imreadjpeg.m
....\....................\......\vl_nnconv.m
....\....................\......\vl_nndropout.m
....\....................\......\vl_nnloss.m
....\....................\......\vl_nnnoffset.m
....\....................\......\vl_nnnormalize.m
....\....................\......\vl_nnpool.m
....\....................\......\vl_nnrelu.m
....\....................\......\vl_nnsoftmax.m
....\....................\......\vl_nnsoftmaxloss.m
....\....................\......\vl_rootnn.m
....\....................\......\vl_setupnn.m
....\....................\......\vl_simplenn.m
....\....................\......\vl_simplenn_diagnose.m
....\....................\......\vl_simplenn_display.m
....\....................\......\vl_simplenn_move.m
....\....................\......\xtest
....\....................\......\