資源簡介
卷積神經網絡的簡單實現
開發語言:C++
便宜環境:Ubuntu 16.04
依賴庫eigen3
代碼片段和文件信息
/*
?*?Activationlayer.cpp
?*
?*??Created?on:?Feb?8?2018
?*??????Author:?user
?*/
#include?“Activationlayer.h“
namespace?DeepLearning?{
Activationlayer::Activationlayer(layerType?layerType)
????:?layer(layerType){
????//?TODO?Auto-generated?constructor?stub
}
Activationlayer::~Activationlayer()?{
????//?TODO?Auto-generated?destructor?stub
}
/*-----------------------------------------------------------------------------------
?*?public?interface
?*----------------------------------------------------------------------------------*/
int?Activationlayer::Forward(const?vector?&input?vector?&output){
????if(input.empty()){
????????return?-1;
????}
????//?save?input?data.
????this->m_input?=?input;
????this->m_output.clear();
????for(unsigned?int?i?=?0;?i?
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-02-10?02:32??hello_cnn-master\
?????文件????????2251??2018-02-10?02:32??hello_cnn-master\Activationla
?????文件?????????993??2018-02-10?02:32??hello_cnn-master\Activationla
?????文件?????????486??2018-02-10?02:32??hello_cnn-master\CMakeLists.txt
?????文件????????1870??2018-02-10?02:32??hello_cnn-master\Cifar.cpp
?????文件?????????473??2018-02-10?02:32??hello_cnn-master\Cifar.h
?????文件???????12922??2018-02-10?02:32??hello_cnn-master\Convolutionla
?????文件????????2292??2018-02-10?02:32??hello_cnn-master\Convolutionla
?????文件????????1066??2018-02-10?02:32??hello_cnn-master\DebugPrint.h
?????文件????????7852??2018-02-10?02:32??hello_cnn-master\FullConnect.cpp
?????文件????????1441??2018-02-10?02:32??hello_cnn-master\FullConnect.h
?????文件????????3510??2018-02-10?02:32??hello_cnn-master\la
?????文件????????1116??2018-02-10?02:32??hello_cnn-master\la
?????文件????????3228??2018-02-10?02:32??hello_cnn-master\Minst.cpp
?????文件?????????554??2018-02-10?02:32??hello_cnn-master\Minst.h
?????文件????????5320??2018-02-10?02:32??hello_cnn-master\Net.cpp
?????文件????????1444??2018-02-10?02:32??hello_cnn-master\Net.h
?????文件????????4510??2018-02-10?02:32??hello_cnn-master\Poolingla
?????文件????????1059??2018-02-10?02:32??hello_cnn-master\Poolingla
?????文件?????????641??2018-02-10?02:32??hello_cnn-master\README.md
?????文件????????1131??2018-02-10?02:32??hello_cnn-master\Relula
?????文件?????????564??2018-02-10?02:32??hello_cnn-master\Relula
?????文件????????1175??2018-02-10?02:32??hello_cnn-master\Sigmoidla
?????文件?????????566??2018-02-10?02:32??hello_cnn-master\Sigmoidla
?????文件????????3627??2018-02-10?02:32??hello_cnn-master\Softmaxla
?????文件????????1174??2018-02-10?02:32??hello_cnn-master\Softmaxla
?????文件????????1117??2018-02-10?02:32??hello_cnn-master\Tanhla
?????文件?????????545??2018-02-10?02:32??hello_cnn-master\Tanhla
?????文件????????4690??2018-02-10?02:32??hello_cnn-master\main.cpp
?????文件?????????629??2018-02-10?02:32??hello_cnn-master\readme
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