43 const double *input,
double *
delta);
71 const bool return_weights);
Interface for neural network layers.
void neural_layer_avgpool_rand(struct Layer *l)
Dummy function since average pooling layers have no weights.
void neural_layer_avgpool_update(const struct Layer *l)
Dummy function since average pooling layers have no weights.
void neural_layer_avgpool_backward(const struct Layer *l, const struct Net *net, const double *input, double *delta)
Backward propagates an average pooling layer.
void neural_layer_avgpool_free(const struct Layer *l)
Free memory used by an average pooling layer.
void neural_layer_avgpool_init(struct Layer *l, const struct ArgsLayer *args)
Initialises an average pooling layer.
bool neural_layer_avgpool_mutate(struct Layer *l)
Dummy function since average pooling layers cannot be mutated.
static struct LayerVtbl const layer_avgpool_vtbl
Neural average pooling layer implemented functions.
void neural_layer_avgpool_forward(const struct Layer *l, const struct Net *net, const double *input)
Forward propagates an average pooling layer.
size_t neural_layer_avgpool_load(struct Layer *l, FILE *fp)
Reads an average pooling layer from a file.
struct Layer * neural_layer_avgpool_copy(const struct Layer *src)
Initialises and copies one average pooling layer from another.
char * neural_layer_avgpool_json_export(const struct Layer *l, const bool return_weights)
Returns a json formatted string of an average pool layer.
size_t neural_layer_avgpool_save(const struct Layer *l, FILE *fp)
Writes an average pooling layer to a file.
void neural_layer_avgpool_print(const struct Layer *l, const bool print_weights)
Prints an average pooling layer.
void neural_layer_avgpool_resize(struct Layer *l, const struct Layer *prev)
Resizes an avg pooling layer if the previous layer has changed size.
double * neural_layer_avgpool_output(const struct Layer *l)
Returns the output from an average pooling layer.
Parameters for initialising a neural network layer.
Neural network layer interface data structure.
Neural network layer data structure.
double * delta
Delta for updating weights.
Neural network data structure.