added randomizeWeights function

include/NeuralNetwork/FeedForward/Network.h

@@ -24,8 +24,6 @@ namespace FeedForward {
 			/**
 			 * @brief Constructor for Network
 			 * @param _inputSize is number of inputs to network
-			 * @param _outputSize is size of output from network
-			 * @param hiddenUnits is number of hiddenUnits to be created
 			 */
 			inline Network(size_t _inputSize):NeuralNetwork::Network(),layers() {
 				appendLayer(_inputSize);
@@ -53,6 +51,9 @@ namespace FeedForward {
 				return *layers[id];
 			}
 
+			void randomizeWeights();
+
+			std::size_t size() const { return layers.size(); };
 			/**
 			 * @brief  This is a function to compute one iterations of network
 			 * @param input is input of network

src/NeuralNetwork/FeedForward/Network.cpp

@@ -25,4 +25,18 @@ std::vector<float> NeuralNetwork::FeedForward::Network::computeOutput(const std:
 	partialInputPtr->resize(partialInputPtr->size()-1);
 
 	return std::vector<float>(*partialInputPtr);
+}
+
+void NeuralNetwork::FeedForward::Network::randomizeWeights() {
+	for(std::size_t layerIndex=1;layerIndex<layers.size();layerIndex++) {
+		auto &layer=layers[layerIndex];
+		auto &prevLayer=layers[layerIndex-1];
+
+		for(std::size_t neuron=1; neuron < layer->size(); neuron ++ ) {
+			for(std::size_t prevNeuron=0; prevNeuron < prevLayer->size(); prevNeuron++) {
+				layer->operator[](neuron).setWeight(prevLayer->operator[](prevNeuron),1.0-static_cast<float>(rand()%2001)/1000.0);
+			}
+		}
+	}
+
 }