AlexeyAB
2018-03-12 15c89e7a714e7e37c13618eace9325a06f0642fc
src/connected_layer.h
@@ -2,28 +2,26 @@
#define CONNECTED_LAYER_H
#include "activations.h"
#include "layer.h"
#include "network.h"
typedef struct{
    int inputs;
    int outputs;
    double *weights;
    double *biases;
    double *weight_updates;
    double *bias_updates;
    double *output;
typedef layer connected_layer;
    double (* activation)();
    double (* gradient)();
} connected_layer;
connected_layer make_connected_layer(int batch, int inputs, int outputs, ACTIVATION activation, int batch_normalize);
connected_layer make_connected_layer(int inputs, int outputs, ACTIVATOR_TYPE activator);
void forward_connected_layer(connected_layer layer, network_state state);
void backward_connected_layer(connected_layer layer, network_state state);
void update_connected_layer(connected_layer layer, int batch, float learning_rate, float momentum, float decay);
void denormalize_connected_layer(layer l);
void statistics_connected_layer(layer l);
void run_connected_layer(double *input, connected_layer layer);
void learn_connected_layer(double *input, connected_layer layer);
void update_connected_layer(connected_layer layer, double step);
void backpropagate_connected_layer(double *input, connected_layer layer);
void calculate_update_connected_layer(double *input, connected_layer layer);
#ifdef GPU
void forward_connected_layer_gpu(connected_layer layer, network_state state);
void backward_connected_layer_gpu(connected_layer layer, network_state state);
void update_connected_layer_gpu(connected_layer layer, int batch, float learning_rate, float momentum, float decay);
void push_connected_layer(connected_layer layer);
void pull_connected_layer(connected_layer layer);
#endif
#endif