quickProp implementation after refactoring

include/NeuralNetwork/Learning/QuickPropagation.h

@@ -4,7 +4,7 @@
 #include <cmath>
 
 #include <NeuralNetwork/FeedForward/Network.h>
-#include "BackPropagation.h"
+#include "BatchPropagation.h"
 
 namespace NeuralNetwork {
 	namespace Learning {
@@ -12,27 +12,33 @@ namespace NeuralNetwork {
 		/** @class QuickPropagation
 		 * @brief
 		 */
-		class QuickPropagation : public BackPropagation {
+		class QuickPropagation : public BatchPropagation {
 
 		public:
 			inline QuickPropagation(FeedForward::Network &feedForwardNetwork, std::shared_ptr<CorrectionFunction::CorrectionFunction> correction = std::make_shared<CorrectionFunction::Linear>()):
-				BackPropagation(feedForwardNetwork,correction) {
+				BatchPropagation(feedForwardNetwork,correction) {
 			}
 
 			virtual ~QuickPropagation() {
 			}
 
-		protected:
-
-			float _maxChange=1.75;
-			float _epsilon=0.5;
-
-			virtual inline void resize() override {
-				BackPropagation::resize();
-				_previousSlopes = _slopes;
+			void setLearningCoefficient (const float& coefficient) {
 			}
 
-			std::vector<std::vector<float>> _previousSlopes ={};
+			protected:
+
+			virtual void updateWeightsAndEndBatch() override;
+
+			float _maxChange=1.75;
+
+			virtual inline void resize() override {
+				BatchPropagation::resize();
+				_lastGradients = _gradients;
+				_lastDeltas = _gradients;
+			}
+
+			std::vector<std::vector<std::vector<float>>> _lastDeltas = {};
+			std::vector<std::vector<std::vector<float>>> _lastGradients = {};
 		};
 	}
 }