XCSF  1.4.7
XCSF learning classifier system
neural_layer_convolutional.h
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15 
24 #pragma once
25 
26 #include "neural_layer.h"
27 
28 void
29 neural_layer_convolutional_init(struct Layer *l, const struct ArgsLayer *args);
30 
31 struct Layer *
32 neural_layer_convolutional_copy(const struct Layer *src);
33 
34 void
36 
37 void
38 neural_layer_convolutional_forward(const struct Layer *l, const struct Net *net,
39  const double *input);
40 
41 void
43  const struct Net *net, const double *input,
44  double *delta);
45 
46 void
48 
49 void
51  const bool print_weights);
52 
53 bool
55 
56 void
57 neural_layer_convolutional_free(const struct Layer *l);
58 
59 double *
61 
62 size_t
63 neural_layer_convolutional_save(const struct Layer *l, FILE *fp);
64 
65 size_t
66 neural_layer_convolutional_load(struct Layer *l, FILE *fp);
67 
68 void
69 neural_layer_convolutional_resize(struct Layer *l, const struct Layer *prev);
70 
71 char *
73  const bool return_weights);
74 
78 static struct LayerVtbl const layer_convolutional_vtbl = {
93 };
Interface for neural network layers.
double * neural_layer_convolutional_output(const struct Layer *l)
Returns the output from a convolutional layer.
void neural_layer_convolutional_update(const struct Layer *l)
Updates the weights and biases of a convolutional layer.
static struct LayerVtbl const layer_convolutional_vtbl
Neural convolutional layer implemented functions.
void neural_layer_convolutional_forward(const struct Layer *l, const struct Net *net, const double *input)
Forward propagates a convolutional layer.
void neural_layer_convolutional_resize(struct Layer *l, const struct Layer *prev)
Resizes a convolutional layer if the previous layer has changed size.
struct Layer * neural_layer_convolutional_copy(const struct Layer *src)
Initialises and copies one convolutional layer from another.
void neural_layer_convolutional_print(const struct Layer *l, const bool print_weights)
Prints a convolutional layer.
bool neural_layer_convolutional_mutate(struct Layer *l)
Mutates a convolutional layer.
void neural_layer_convolutional_free(const struct Layer *l)
Free memory used by a convolutional layer.
size_t neural_layer_convolutional_save(const struct Layer *l, FILE *fp)
Writes a convolutional layer to a file.
size_t neural_layer_convolutional_load(struct Layer *l, FILE *fp)
Reads a convolutional layer from a file.
void neural_layer_convolutional_rand(struct Layer *l)
Randomises the weights of a convolutional layer.
void neural_layer_convolutional_init(struct Layer *l, const struct ArgsLayer *args)
Initialises a 2D convolutional layer.
void neural_layer_convolutional_backward(const struct Layer *l, const struct Net *net, const double *input, double *delta)
Backward propagates a convolutional layer.
char * neural_layer_convolutional_json_export(const struct Layer *l, const bool return_weights)
Returns a json formatted string of a convolutional layer.
Parameters for initialising a neural network layer.
Neural network layer interface data structure.
Definition: neural_layer.h:143
Neural network layer data structure.
Definition: neural_layer.h:73
double * delta
Delta for updating weights.
Definition: neural_layer.h:83
Neural network data structure.
Definition: neural.h:48