Attempt at visualizing ImageNet Features

Joseph Redmon

2014-04-11 cc06817efa24f20811ef6b32143c6700a91c5f2a

 src/connected_layer.h

@@ -4,26 +4,35 @@
#include "activations.h"

typedef struct{
    int batch;
    int inputs;
    int outputs;
    double *weights;
    double *biases;
    double *weight_updates;
    double *bias_updates;
    double *output;
    float *weights;
    float *biases;

    double (* activation)();
    double (* gradient)();
    float *weight_updates;
    float *bias_updates;

    float *weight_adapt;
    float *bias_adapt;

    float *weight_momentum;
    float *bias_momentum;

    float *output;
    float *delta;

    ACTIVATION activation;

} connected_layer;

connected_layer make_connected_layer(int inputs, int outputs, ACTIVATOR_TYPE activator);
connected_layer *make_connected_layer(int batch, int inputs, int outputs, ACTIVATION activation);

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 forward_connected_layer(connected_layer layer, float *input);
void backward_connected_layer(connected_layer layer, float *input, float *delta);
void learn_connected_layer(connected_layer layer, float *input);
void update_connected_layer(connected_layer layer, float step, float momentum, float decay);

void backpropagate_connected_layer(double *input, connected_layer layer);
void calculate_update_connected_layer(double *input, connected_layer layer);

#endif