文件名称:CNN(cPP)
介绍说明－－下载内容均来自于网络，请自行研究使用
theano的C++实现，先用theano训练完，然后调用训练后的参数即可-python c++ cnn
(系统自动生成,下载前可以参看下载内容)
下载文件列表
CNN(c++)
........\.vs
........\...\CNN(c++)
........\...\........\v14
........\...\........\...\.suo
........\CNN(c++)
........\CNN(c++).sdf
........\CNN(c++).sln
........\........\CNN(c++).vcxproj
........\........\CNN(c++).vcxproj.filters
........\........\cnn.cpp
........\........\cnn.h
........\........\Debug
........\........\.....\CNN(c++).Build.CppClean.log
........\........\.....\CNN(c++).log
........\........\.....\CNN(c++).tlog
........\........\.....\.............\CL.read.1.tlog
........\........\.....\.............\CL.write.1.tlog
........\........\.....\.............\CNN(c++).lastbuildstate
........\........\.....\.............\link.read.1.tlog
........\........\.....\.............\link.write.1.tlog
........\........\.....\cnn.obj
........\........\.....\featuremap.obj
........\........\.....\hiddenLayer.obj
........\........\.....\logisticRegression.obj
........\........\.....\main.obj
........\........\.....\mlp.obj
........\........\.....\neuralbase.obj
........\........\.....\neuralNetwork.obj
........\........\.....\poollayer.obj
........\........\.....\util.obj
........\........\.....\util.obj.enc
........\........\.....\vc140.idb
........\........\.....\vc140.pdb
........\........\featuremap.cpp
........\........\featuremap.h
........\........\hiddenLayer.cpp
........\........\hiddenLayer.h
........\........\logisticRegression.cpp
........\........\logisticRegression.h
........\........\main.cpp
........\........\mlp.cpp
........\........\mlp.h
........\........\neuralbase.cpp
........\........\neuralbase.h
........\........\neuralNetwork.cpp
........\........\neuralNetwork.h
........\........\poollayer.cpp
........\........\poollayer.h
........\........\util.cpp
........\........\util.h
........\Debug
........\.....\CNN(c++).exe
........\.....\CNN(c++).ilk
........\.....\CNN(c++).pdb