25 lines
685 B
C++
25 lines
685 B
C++
#ifndef CORE_H
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#define CORE_H
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#include "typedef.h"
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#include <vector>
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#include <cmath>
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class NeuralNetwork {
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private:
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int numLayers;
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std::vector<int> sizes;
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std::vector<std::vector<std::vector<double>>> weights;
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std::vector<std::vector<double>> biases;
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std::vector<std::vector<double>> outputs;
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double sigmoid(double x) { return 1.0 / (1.0 + exp(-x)); }
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double sigmoidDeriv(double x) { return x * (1.0 - x); }
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public:
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NeuralNetwork(LayerStructure_t layers[], int count);
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std::vector<double> feedForward(const std::vector<double>& input);
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double train(const std::vector<double>& input, const std::vector<double>& target, double lr);
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};
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#endif |