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cleaning + Network getter and setter for input / output size

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Shin
2016-05-03 22:03:03 +02:00
parent 6a17694a6b
commit 58f7f8f69b
9 changed files with 85 additions and 58 deletions
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10
include/NeuralNetwork/Recurrent/Network.h
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@@ -24,14 +24,14 @@ namespace Recurrent {
* @param _outputSize is size of output from network
* @param hiddenUnits is number of hiddenUnits to be created
*/
inline Network(size_t _inputSize, size_t _outputSize,size_t hiddenUnits=0):NeuralNetwork::Network(),inputSize(_inputSize),outputSize(_outputSize), neurons(0),outputs(0) {
inline Network(size_t inputSize, size_t outputSize,size_t hiddenUnits=0):NeuralNetwork::Network(inputSize,outputSize), neurons(0),outputs(0) {
neurons.push_back(new NeuralNetwork::BiasNeuron());
for(size_t i=0;i<_inputSize;i++) {
for(size_t i=0;i<inputSize;i++) {
neurons.push_back(new NeuralNetwork::InputNeuron(neurons.size()));
}
for(size_t i=0;i<_outputSize;i++) {
for(size_t i=0;i<outputSize;i++) {
addNeuron();
}
@@ -40,7 +40,7 @@ namespace Recurrent {
}
};
Network(const Network &r) :inputSize(r.inputSize), outputSize(r.outputSize), neurons(0), outputs(r.outputs) {
Network(const Network &r) : NeuralNetwork::Network(r), neurons(0), outputs(r.outputs) {
neurons.push_back(new NeuralNetwork::BiasNeuron());
for(std::size_t i=1;i<r.neurons.size();i++) {
neurons.push_back(r.neurons[i]->clone());
@@ -109,8 +109,6 @@ namespace Recurrent {
typedef SimpleJSON::Factory<Network> Factory;
protected:
size_t inputSize=0;
size_t outputSize=0;
std::vector<NeuronInterface*> neurons;
std::vector<float> outputs;