XCSF  1.4.7
XCSF learning classifier system
neural_layer_recurrent.h
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1 /*
2  * This program is free software: you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation, either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * This program is distributed in the hope that it will be useful,
8  * but WITHOUT ANY WARRANTY; without even the implied warranty of
9  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
10  * GNU General Public License for more details.
11  *
12  * You should have received a copy of the GNU General Public License
13  * along with this program. If not, see <http://www.gnu.org/licenses/>.
14  */
15 
24 #pragma once
25 
26 #include "neural_layer.h"
27 
28 void
29 neural_layer_recurrent_init(struct Layer *l, const struct ArgsLayer *args);
30 
31 struct Layer *
32 neural_layer_recurrent_copy(const struct Layer *src);
33 
34 void
35 neural_layer_recurrent_rand(struct Layer *l);
36 
37 void
38 neural_layer_recurrent_forward(const struct Layer *l, const struct Net *net,
39  const double *input);
40 
41 void
42 neural_layer_recurrent_backward(const struct Layer *l, const struct Net *net,
43  const double *input, double *delta);
44 
45 void
46 neural_layer_recurrent_update(const struct Layer *l);
47 
48 void
49 neural_layer_recurrent_print(const struct Layer *l, const bool print_weights);
50 
51 bool
52 neural_layer_recurrent_mutate(struct Layer *l);
53 
54 void
55 neural_layer_recurrent_free(const struct Layer *l);
56 
57 double *
58 neural_layer_recurrent_output(const struct Layer *l);
59 
60 size_t
61 neural_layer_recurrent_save(const struct Layer *l, FILE *fp);
62 
63 size_t
64 neural_layer_recurrent_load(struct Layer *l, FILE *fp);
65 
66 void
67 neural_layer_recurrent_resize(struct Layer *l, const struct Layer *prev);
68 
69 char *
70 neural_layer_recurrent_json_export(const struct Layer *l,
71  const bool return_weights);
72 
76 static struct LayerVtbl const layer_recurrent_vtbl = {
77  &neural_layer_recurrent_init, &neural_layer_recurrent_mutate,
78  &neural_layer_recurrent_resize, &neural_layer_recurrent_copy,
79  &neural_layer_recurrent_free, &neural_layer_recurrent_rand,
80  &neural_layer_recurrent_print, &neural_layer_recurrent_update,
81  &neural_layer_recurrent_backward, &neural_layer_recurrent_forward,
82  &neural_layer_recurrent_output, &neural_layer_recurrent_save,
83  &neural_layer_recurrent_load, &neural_layer_recurrent_json_export
84 };
neural_layer.h
Interface for neural network layers.
neural_layer_recurrent_save
size_t neural_layer_recurrent_save(const struct Layer *l, FILE *fp)
Writes a recurrent layer to a file.
Definition: neural_layer_recurrent.c:494
neural_layer_recurrent_load
size_t neural_layer_recurrent_load(struct Layer *l, FILE *fp)
Reads a recurrent layer from a file.
Definition: neural_layer_recurrent.c:520
neural_layer_recurrent_update
void neural_layer_recurrent_update(const struct Layer *l)
Updates the weights and biases of a recurrent layer.
Definition: neural_layer_recurrent.c:385
neural_layer_recurrent_resize
void neural_layer_recurrent_resize(struct Layer *l, const struct Layer *prev)
Resizes a recurrent layer if the previous layer has changed size.
Definition: neural_layer_recurrent.c:400
neural_layer_recurrent_copy
struct Layer * neural_layer_recurrent_copy(const struct Layer *src)
Initialises and creates a copy of one recurrent layer from another.
Definition: neural_layer_recurrent.c:283
neural_layer_recurrent_mutate
bool neural_layer_recurrent_mutate(struct Layer *l)
Mutates a recurrent layer.
Definition: neural_layer_recurrent.c:425
neural_layer_recurrent_rand
void neural_layer_recurrent_rand(struct Layer *l)
Randomises a recurrent layer weights.
Definition: neural_layer_recurrent.c:335
neural_layer_recurrent_init
void neural_layer_recurrent_init(struct Layer *l, const struct ArgsLayer *args)
Initialises a recurrent layer.
Definition: neural_layer_recurrent.c:246
neural_layer_recurrent_json_export
char * neural_layer_recurrent_json_export(const struct Layer *l, const bool return_weights)
Returns a json formatted string representation of a recurrent layer.
Definition: neural_layer_recurrent.c:458
neural_layer_recurrent_output
double * neural_layer_recurrent_output(const struct Layer *l)
Returns the output from a recurrent layer.
Definition: neural_layer_recurrent.c:414
layer_recurrent_vtbl
static struct LayerVtbl const layer_recurrent_vtbl
Neural recurrent layer implemented functions.
Definition: neural_layer_recurrent.h:76
neural_layer_recurrent_free
void neural_layer_recurrent_free(const struct Layer *l)
Free memory used by a recurrent layer.
Definition: neural_layer_recurrent.c:319
neural_layer_recurrent_forward
void neural_layer_recurrent_forward(const struct Layer *l, const struct Net *net, const double *input)
Forward propagates a recurrent layer.
Definition: neural_layer_recurrent.c:349
neural_layer_recurrent_backward
void neural_layer_recurrent_backward(const struct Layer *l, const struct Net *net, const double *input, double *delta)
Backward propagates a recurrent layer.
Definition: neural_layer_recurrent.c:368
neural_layer_recurrent_print
void neural_layer_recurrent_print(const struct Layer *l, const bool print_weights)
Prints a recurrent layer.
Definition: neural_layer_recurrent.c:443
ArgsLayer
Parameters for initialising a neural network layer.
Definition: neural_layer_args.h:31
LayerVtbl
Neural network layer interface data structure.
Definition: neural_layer.h:143
Layer
Neural network layer data structure.
Definition: neural_layer.h:73
Layer::delta
double * delta
Delta for updating weights.
Definition: neural_layer.h:83
Net
Neural network data structure.
Definition: neural.h:48