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added feedForward and moving Reccurent neuron to normal

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Shin
2016-01-28 22:17:36 +01:00
parent 13b179dd57
commit 3e383e9add
12 changed files with 265 additions and 252 deletions
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2
src/Makefile
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@@ -1,6 +1,6 @@
include ../Makefile.const
OBJFILES= ./sse_mathfun.o ./NeuralNetwork/Recurrent/Network.o ./NeuralNetwork/Recurrent/Neuron.o
OBJFILES= ./sse_mathfun.o ./NeuralNetwork/Recurrent/Network.o ./NeuralNetwork/Neuron.o ./NeuralNetwork/FeedForward/Network.o ./NeuralNetwork/FeedForward/Layer.o
#LayerNetwork.o\
# Learning/Learning.o Learning/BackPropagation.o ../sse_mathfun.o

10
src/NeuralNetwork/FeedForward/Layer.cpp Normal file
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@@ -0,0 +1,10 @@
#include <NeuralNetwork/FeedForward/Layer.h>
void NeuralNetwork::FeedForward::Layer::solve(const std::vector<float> &input, std::vector<float> &output) {
output.resize(neurons.size());
for(auto &neuron:neurons) {
output[neuron.id()]=neuron(input);
}
}

16
src/NeuralNetwork/FeedForward/Network.cpp Normal file
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@@ -0,0 +1,16 @@
#include <NeuralNetwork/FeedForward/Network.h>
std::vector<float> NeuralNetwork::FeedForward::Network::computeOutput(const std::vector<float>& input) {
// this is here for simple swapping between input and output
std::vector<float> partial1=input;
std::vector<float> partial2;
std::vector<float> *partialInputPtr = &partial1;
std::vector<float> *partialOutputPtr = &partial2;
for(int i=1;i<layers.size();i++) {
layers[i].solve(*partialInputPtr,*partialOutputPtr);
std::swap(partialInputPtr,partialOutputPtr);
}
return std::vector<float>(*partialInputPtr);
}

8
src/NeuralNetwork/Recurrent/Neuron.cpp → src/NeuralNetwork/Neuron.cpp
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@@ -1,11 +1,11 @@
#include <NeuralNetwork/Recurrent/Neuron.h>
#include <NeuralNetwork/Neuron.h>
std::string NeuralNetwork::Recurrent::Neuron::stringify(const std::string &prefix) const {
std::string NeuralNetwork::Neuron::stringify(const std::string &prefix) const {
std::ostringstream out;
out.precision(std::numeric_limits<float>::digits10+1);
out << prefix << "{\n";
out << prefix << "\t\"class\": \"NeuralNetwork::Recurrent::Neuron\",\n";
out << prefix << "\t\"class\": \"NeuralNetwork::Neuron\",\n";
out << prefix << "\t\"id\": " << id() << ",\n";
out << prefix << "\t\"bias\": " << getBias() << ",\n";
out << prefix << "\t\"output\": " << output() << ",\n";
@@ -14,7 +14,7 @@ std::string NeuralNetwork::Recurrent::Neuron::stringify(const std::string &prefi
out << prefix << "\t\"basisFunction\": " << basis->stringify() <<",\n";
out << prefix << "\t\"weights\": {";
bool first=true;
for(size_t j=0;j<weights.size();j++) {
for(std::size_t j=0;j<weights.size();j++) {
if(weights[j]!= 0.0) {
if(!first)
out << ", ";