Typedefs | Functions
convolutional_layer.h File Reference
#include "cuda.h"
#include "image.h"
#include "activations.h"
#include "layer.h"
#include "network.h"
Include dependency graph for convolutional_layer.h:
This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Typedefs

typedef layer convolutional_layer

Functions

void add_bias (float *output, float *biases, int batch, int n, int size)
void backward_bias (float *bias_updates, float *delta, int batch, int n, int size)
void backward_convolutional_layer (convolutional_layer layer, network_state state)
void binarize_weights (float *weights, int n, int size, float *binary)
void binarize_weights2 (float *weights, int n, int size, char *binary, float *scales)
int convolutional_out_height (convolutional_layer layer)
int convolutional_out_width (convolutional_layer layer)
void denormalize_convolutional_layer (convolutional_layer l)
void forward_convolutional_layer (const convolutional_layer layer, network_state state)
image get_convolutional_delta (convolutional_layer layer)
image get_convolutional_image (convolutional_layer layer)
image get_convolutional_weight (convolutional_layer layer, int i)
convolutional_layer make_convolutional_layer (int batch, int h, int w, int c, int n, int size, int stride, int padding, ACTIVATION activation, int batch_normalize, int binary, int xnor, int adam)
void rescale_weights (convolutional_layer l, float scale, float trans)
void resize_convolutional_layer (convolutional_layer *layer, int w, int h)
void rgbgr_weights (convolutional_layer l)
void swap_binary (convolutional_layer *l)
void update_convolutional_layer (convolutional_layer layer, int batch, float learning_rate, float momentum, float decay)
imagevisualize_convolutional_layer (convolutional_layer layer, char *window, image *prev_weights)

Typedef Documentation

Definition at line 10 of file convolutional_layer.h.


Function Documentation

void add_bias ( float *  output,
float *  biases,
int  batch,
int  n,
int  size 
)

Definition at line 393 of file convolutional_layer.c.

void backward_bias ( float *  bias_updates,
float *  delta,
int  batch,
int  n,
int  size 
)

Definition at line 417 of file convolutional_layer.c.

Definition at line 468 of file convolutional_layer.c.

void binarize_weights ( float *  weights,
int  n,
int  size,
float *  binary 
)

Definition at line 33 of file convolutional_layer.c.

void binarize_weights2 ( float *  weights,
int  n,
int  size,
char *  binary,
float *  scales 
)

Definition at line 71 of file convolutional_layer.c.

Definition at line 76 of file convolutional_layer.c.

Definition at line 313 of file convolutional_layer.c.

Definition at line 427 of file convolutional_layer.c.

Definition at line 90 of file convolutional_layer.c.

Definition at line 81 of file convolutional_layer.c.

Definition at line 523 of file convolutional_layer.c.

convolutional_layer make_convolutional_layer ( int  batch,
int  h,
int  w,
int  c,
int  n,
int  size,
int  stride,
int  padding,
ACTIVATION  activation,
int  batch_normalize,
int  binary,
int  xnor,
int  adam 
)

Definition at line 174 of file convolutional_layer.c.

void rescale_weights ( convolutional_layer  l,
float  scale,
float  trans 
)

Definition at line 542 of file convolutional_layer.c.

void resize_convolutional_layer ( convolutional_layer layer,
int  w,
int  h 
)

Definition at line 352 of file convolutional_layer.c.

Definition at line 531 of file convolutional_layer.c.

Definition at line 20 of file convolutional_layer.c.

void update_convolutional_layer ( convolutional_layer  layer,
int  batch,
float  learning_rate,
float  momentum,
float  decay 
)

Definition at line 506 of file convolutional_layer.c.

image* visualize_convolutional_layer ( convolutional_layer  layer,
char *  window,
image prev_weights 
)

Definition at line 566 of file convolutional_layer.c.



rail_object_detector
Author(s):
autogenerated on Sat Jun 8 2019 20:26:31