pmlpp/mlpp/output_layer/output_layer.h

#ifndef MLPP_OUTPUT_LAYER_H
#define MLPP_OUTPUT_LAYER_H

//
//  OutputLayer.hpp
//
//  Created by Marc Melikyan on 11/4/20.
//

#include "core/math/math_defs.h"

#include "../activation/activation.h"
#include "../cost/cost.h"

#include <map>
#include <string>
#include <vector>


class MLPPOutputLayer {
public:
	MLPPOutputLayer(int n_hidden, std::string activation, std::string cost, std::vector<std::vector<real_t>> input, std::string weightInit, std::string reg, real_t lambda, real_t alpha);

	int n_hidden;
	std::string activation;
	std::string cost;

	std::vector<std::vector<real_t>> input;

	std::vector<real_t> weights;
	real_t bias;

	std::vector<real_t> z;
	std::vector<real_t> a;

	std::map<std::string, std::vector<real_t> (MLPPActivation::*)(std::vector<real_t>, bool)> activation_map;
	std::map<std::string, real_t (MLPPActivation::*)(real_t, bool)> activationTest_map;
	std::map<std::string, real_t (MLPPCost::*)(std::vector<real_t>, std::vector<real_t>)> cost_map;
	std::map<std::string, std::vector<real_t> (MLPPCost::*)(std::vector<real_t>, std::vector<real_t>)> costDeriv_map;

	real_t z_test;
	real_t a_test;

	std::vector<real_t> delta;

	// Regularization Params
	std::string reg;
	real_t lambda; /* Regularization Parameter */
	real_t alpha; /* This is the controlling param for Elastic Net*/

	std::string weightInit;

	void forwardPass();
	void Test(std::vector<real_t> x);
};


#endif /* OutputLayer_hpp */