darknet/src/convolutional_layer.h

45 lines
1.3 KiB
C
Raw Normal View History

2013-11-04 23:11:01 +04:00
#ifndef CONVOLUTIONAL_LAYER_H
#define CONVOLUTIONAL_LAYER_H
#include "image.h"
2013-11-13 22:50:38 +04:00
#include "activations.h"
2013-11-04 23:11:01 +04:00
typedef struct {
2013-11-13 22:50:38 +04:00
int h,w,c;
2013-11-04 23:11:01 +04:00
int n;
2013-12-03 04:41:40 +04:00
int size;
2013-11-04 23:11:01 +04:00
int stride;
float *filters;
float *filter_updates;
float *filter_momentum;
2014-01-28 11:16:56 +04:00
float *biases;
float *bias_updates;
float *bias_momentum;
2014-01-28 11:16:56 +04:00
float *col_image;
float *delta;
float *output;
2013-11-13 22:50:38 +04:00
2013-12-03 04:41:40 +04:00
ACTIVATION activation;
2013-11-04 23:11:01 +04:00
} convolutional_layer;
2013-12-03 04:41:40 +04:00
convolutional_layer *make_convolutional_layer(int h, int w, int c, int n, int size, int stride, ACTIVATION activation);
void forward_convolutional_layer(const convolutional_layer layer, float *in);
2014-01-28 11:16:56 +04:00
void learn_convolutional_layer(convolutional_layer layer);
void update_convolutional_layer(convolutional_layer layer, float step, float momentum, float decay);
2014-01-28 11:16:56 +04:00
void visualize_convolutional_layer(convolutional_layer layer, char *window);
void backward_convolutional_layer(convolutional_layer layer, float *delta);
2013-11-13 22:50:38 +04:00
2014-01-28 11:16:56 +04:00
//void backpropagate_convolutional_layer_convolve(image input, convolutional_layer layer);
//void visualize_convolutional_filters(convolutional_layer layer, char *window);
//void visualize_convolutional_layer(convolutional_layer layer);
2013-11-13 22:50:38 +04:00
image get_convolutional_image(convolutional_layer layer);
image get_convolutional_delta(convolutional_layer layer);
2014-01-28 11:16:56 +04:00
image get_convolutional_filter(convolutional_layer layer, int i);
2013-11-04 23:11:01 +04:00
#endif