45 lines
1.1 KiB
C++
45 lines
1.1 KiB
C++
#include "matrices.h"
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#include <cassert>
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#include <math.h>
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#define assertm(exp, msg) assert((void(msg), exp))
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class Layer {
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public:
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Matrix input;
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Matrix weights;
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Matrix raw_output;
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Matrix activated_output;
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Matrix biases;
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static inline float Sigmoid(float);
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static inline float SigmoidPrime(float);
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inline Layer(int); // Number of neurons
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inline void Forward(); // Forward Pass with sigmoid
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inline void Forward(float (*activation)(float)); // Forward Pass with custom activation function
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};
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float Layer::Sigmoid(float x){
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return 1 / (1 + exp(-x));
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}
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float Layer::SigmoidPrime(float x){
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float buffer = Layer::Sigmoid(x);
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return buffer * (1 - buffer);
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}
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void Layer::Forward(float (*activation)(float)){
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// Multiply inputs by weights
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// W x I + B = Z
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this->raw_output = this->input.Multiply(&this->weights).Add(&this->biases);
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// Now through activation function
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// A = F(Z)
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this->activated_output = this->raw_output.Function(activation);
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}
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void Layer::Forward(){
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this->Forward(&Layer::Sigmoid);
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} |