modifying documentation

src/NeuralNetwork/FeedForward.h

@@ -87,6 +87,13 @@ namespace NeuralNetwork
 	 * @author Tomas Cernik (Tom.Cernik@gmail.com)
 	 * @brief Class representing FeedForward network
 	 * @see ACyclicNetwork
+	 *
+	 * @b Usage:
+	 * @code
+	 * Shin::NeuralNetwork::FeedForward net({1,5,2});
+	 * net.setThreads(2); // it alows network to use 2 threads if it needs to.
+	 * Shin::Solution sol = net.solve(Shin::Problem(0.1)) // and finaly, solve Problem
+	 * @endcode
 	 */
 	class FeedForward:public ACyclicNetwork
 	{
@@ -112,6 +119,9 @@ namespace NeuralNetwork
 			 */
 			FeedForward operator=(const FeedForward &f)=delete;
 
+			/**
+			 * @brief computes output Solution from input Problem
+			 */
 			virtual Solution solve(const Problem& p) override;
 			virtual size_t size() const override { return layers;};
 			virtual FFLayer& operator[](const size_t& l) override;

src/NeuralNetwork/Perceptron.h

@@ -8,11 +8,21 @@ namespace Shin
 {
 namespace NeuralNetwork
 {
+	/**
+	 * @author Tomas Cernik (Tom.Cernik@gmail.com)
+	 * @brief Class reprezenting Perceptron - network with only 2 layer (input and output) with Heaviside transfer function
+	 */
 	class Perceptron:public FeedForward
 	{
 		public:
+			/**
+			 * @brief Constructor for Perceptron network
+			 * @param inputSize size of input Problem
+			 * @param outputSize size of output Solution
+			 */
 			Perceptron(const size_t &inputSize, const size_t &outputSize):FeedForward({inputSize,outputSize})
 			{
+				// < iterate throuht layers and set them to Heaviside Function
 				for(int i=0;i<layers;i++)
 				{
 					delete transfer[i];