#pragma once

#include <vector>
#include <cmath>

#include <NeuralNetwork/FeedForward/Network.h>
#include "BackPropagation.h"

namespace NeuralNetwork {
	namespace Learning {

		/** @class QuickPropagation
		 * @brief
		 */
		class QuickPropagation : public BackPropagation {

		public:
			inline QuickPropagation(FeedForward::Network &feedForwardNetwork, std::shared_ptr<CorrectionFunction::CorrectionFunction> correction = std::make_shared<CorrectionFunction::Linear>()):
				BackPropagation(feedForwardNetwork,correction) {
			}

			virtual ~QuickPropagation() {
			}

		protected:

			float _maxChange=1.75;
			float _epsilon=0.5;

			virtual inline void resize() override {
				BackPropagation::resize();
				_previousSlopes = _slopes;
			}

			std::vector<std::vector<float>> _previousSlopes ={};
		};
	}
}