Reduced the progress update messages to take load from the UI,
implemented load-or-create in test funtion
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parent
9bb927d2d2
commit
1e716979a9
3 changed files with 44 additions and 22 deletions
22
Net.cpp
22
Net.cpp
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@ -4,8 +4,25 @@
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#include <iostream>
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#include <iostream>
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#include <fstream>
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#include <fstream>
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Net::Net()
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{
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}
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Net::Net(std::initializer_list<size_t> layerSizes)
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Net::Net(std::initializer_list<size_t> layerSizes)
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{
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{
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initialize(layerSizes);
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}
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Net::Net(const std::string &filename)
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{
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load(filename);
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}
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void Net::initialize(std::initializer_list<size_t> layerSizes)
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{
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clear();
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if (layerSizes.size() < 2)
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if (layerSizes.size() < 2)
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{
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{
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throw std::exception("A net needs at least 2 layers");
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throw std::exception("A net needs at least 2 layers");
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@ -27,11 +44,6 @@ Net::Net(std::initializer_list<size_t> layerSizes)
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}
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}
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}
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}
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Net::Net(const std::string &filename)
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{
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load(filename);
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}
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void Net::feedForward(const std::vector<double> &inputValues)
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void Net::feedForward(const std::vector<double> &inputValues)
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{
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{
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Layer &inputLayer = front();
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Layer &inputLayer = front();
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3
Net.h
3
Net.h
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@ -7,9 +7,12 @@
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class Net : public std::vector < Layer >
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class Net : public std::vector < Layer >
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{
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{
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public:
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public:
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Net();
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Net(std::initializer_list<size_t> layerSizes);
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Net(std::initializer_list<size_t> layerSizes);
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Net(const std::string &filename);
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Net(const std::string &filename);
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void initialize(std::initializer_list<size_t> layerSizes);
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void feedForward(const std::vector<double> &inputValues);
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void feedForward(const std::vector<double> &inputValues);
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std::vector<double> getOutput();
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std::vector<double> getOutput();
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void backProp(const std::vector<double> &targetValues);
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void backProp(const std::vector<double> &targetValues);
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@ -9,7 +9,15 @@ void NetLearner::run()
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{
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{
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QElapsedTimer timer;
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QElapsedTimer timer;
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Net myNet({2, 3, 1});
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Net myNet;
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try
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{
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myNet.load("mynet.nnet");
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}
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catch (...)
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{
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myNet.initialize({2, 3, 1});
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}
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size_t batchSize = 5000;
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size_t batchSize = 5000;
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size_t batchIndex = 0;
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size_t batchIndex = 0;
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@ -54,6 +62,7 @@ void NetLearner::run()
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emit logMessage(logString);
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emit logMessage(logString);
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emit currentNetError(batchMaxError);
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emit currentNetError(batchMaxError);
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emit progress((double)iteration / (double)numIterations);
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batchIndex = 0;
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batchIndex = 0;
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batchMaxError = 0.0;
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batchMaxError = 0.0;
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@ -61,8 +70,6 @@ void NetLearner::run()
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}
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}
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myNet.backProp(targetValues);
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myNet.backProp(targetValues);
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emit progress((double)iteration / (double)numIterations);
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}
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}
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QString timerLogString;
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QString timerLogString;
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