XCSF  1.4.7
XCSF learning classifier system
Data Fields
Layer Struct Reference

Neural network layer data structure. More...

#include <neural_layer.h>

Collaboration diagram for Layer:
[legend]

Data Fields

int type
 Layer type: CONNECTED, DROPOUT, etc. More...
 
double * state
 Current neuron states (before activation function) More...
 
double * output
 Current neuron outputs (after activation function) More...
 
uint32_t options
 Bitwise layer options permitting evolution, SGD, etc. More...
 
double * weights
 Weights for calculating neuron states. More...
 
bool * weight_active
 Whether each connection is present in the layer. More...
 
double * biases
 Biases for calculating neuron states. More...
 
double * bias_updates
 Updates to biases. More...
 
double * weight_updates
 Updates to weights. More...
 
double * delta
 Delta for updating weights. More...
 
double * mu
 Mutation rates. More...
 
double eta
 Gradient descent rate. More...
 
double eta_max
 Maximum gradient descent rate. More...
 
double eta_min
 Minimum gradient descent rate. More...
 
double momentum
 Momentum for gradient descent. More...
 
double decay
 Weight decay for gradient descent. More...
 
int n_inputs
 Number of layer inputs. More...
 
int n_outputs
 Number of layer outputs. More...
 
int max_outputs
 Maximum number of neurons in the layer. More...
 
int max_neuron_grow
 Maximum number neurons to add per mutation event. More...
 
int n_weights
 Number of layer weights. More...
 
int n_biases
 Number of layer biases. More...
 
int n_active
 Number of active weights / connections. More...
 
int function
 Layer activation function. More...
 
double scale
 Usage depends on layer implementation. More...
 
double probability
 Usage depends on layer implementation. More...
 
struct LayerVtbl const * layer_vptr
 Functions acting on layers. More...
 
double * prev_state
 Previous state for recursive layers. More...
 
struct Layer * input_layer
 Recursive layer input. More...
 
struct Layer * self_layer
 Recursive layer self. More...
 
struct Layer * output_layer
 Recursive layer output. More...
 
int recurrent_function
 LSTM. More...
 
struct Layer * uf
 LSTM. More...
 
struct Layer * ui
 LSTM. More...
 
struct Layer * ug
 LSTM. More...
 
struct Layer * uo
 LSTM. More...
 
struct Layer * wf
 LSTM. More...
 
struct Layer * wi
 LSTM. More...
 
struct Layer * wg
 LSTM. More...
 
struct Layer * wo
 LSTM. More...
 
double * cell
 LSTM. More...
 
double * prev_cell
 LSTM. More...
 
double * f
 LSTM. More...
 
double * i
 LSTM. More...
 
double * g
 LSTM. More...
 
double * o
 LSTM. More...
 
double * c
 LSTM. More...
 
double * h
 LSTM. More...
 
double * temp
 LSTM. More...
 
double * temp2
 LSTM. More...
 
double * temp3
 LSTM. More...
 
double * dc
 LSTM. More...
 
int height
 Pool, Conv, and Upsample. More...
 
int width
 Pool, Conv, and Upsample. More...
 
int channels
 Pool, Conv, and Upsample. More...
 
int pad
 Pool and Conv. More...
 
int out_w
 Pool, Conv, and Upsample. More...
 
int out_h
 Pool, Conv, and Upsample. More...
 
int out_c
 Pool, Conv, and Upsample. More...
 
int size
 Pool and Conv. More...
 
int stride
 Pool, Conv, and Upsample. More...
 
int * indexes
 Pool. More...
 
int n_filters
 Conv. More...
 

Detailed Description

Neural network layer data structure.

Definition at line 73 of file neural_layer.h.

Field Documentation

◆ bias_updates

double* Layer::bias_updates

Updates to biases.

Definition at line 81 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_defaults(), malloc_layer_arrays(), neural_layer_connected_backward(), neural_layer_connected_free(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_free(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), and realloc_layer_arrays().

◆ biases

double* Layer::biases

Biases for calculating neuron states.

Definition at line 80 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_defaults(), layer_mutate_weights(), layer_weight_clamp(), layer_weight_json(), layer_weight_rand(), malloc_layer_arrays(), neural_layer_connected_copy(), neural_layer_connected_forward(), neural_layer_connected_free(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_free(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), and realloc_layer_arrays().

◆ c

double* Layer::c

LSTM.

Definition at line 120 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_avgpool_resize(), neural_layer_connected_backward(), neural_layer_connected_forward(), neural_layer_convolutional_backward(), neural_layer_convolutional_forward(), neural_layer_lstm_backward(), neural_layer_lstm_forward(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_maxpool_resize(), neural_layer_upsample_backward(), and neural_layer_upsample_forward().

◆ cell

double* Layer::cell

LSTM.

Definition at line 114 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_forward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ channels

int Layer::channels

Pool, Conv, and Upsample.

Definition at line 128 of file neural_layer.h.

Referenced by get_workspace_size(), layer_defaults(), neural_layer_avgpool_backward(), neural_layer_avgpool_copy(), neural_layer_avgpool_forward(), neural_layer_avgpool_init(), neural_layer_avgpool_json_export(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_forward(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_upsample_backward(), neural_layer_upsample_copy(), neural_layer_upsample_forward(), neural_layer_upsample_init(), neural_layer_upsample_json_export(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ dc

double* Layer::dc

LSTM.

Definition at line 125 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ decay

double Layer::decay

Weight decay for gradient descent.

Definition at line 89 of file neural_layer.h.

Referenced by layer_defaults(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ delta

double* Layer::delta

Delta for updating weights.

Definition at line 83 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_add_neurons(), layer_backward(), layer_defaults(), malloc_layer_arrays(), mutate_neurons(), neural_layer_avgpool_backward(), neural_layer_avgpool_free(), neural_layer_connected_backward(), neural_layer_connected_free(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_free(), neural_layer_convolutional_resize(), neural_layer_dropout_backward(), neural_layer_lstm_backward(), neural_layer_maxpool_backward(), neural_layer_maxpool_free(), neural_layer_noise_backward(), neural_layer_recurrent_backward(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_softmax_backward(), neural_layer_upsample_backward(), neural_learn(), realloc_layer_arrays(), and reset_layer_deltas().

◆ eta

double Layer::eta

Gradient descent rate.

Definition at line 85 of file neural_layer.h.

Referenced by layer_defaults(), layer_init_eta(), layer_mutate_eta(), mutate_eta(), neural_layer_connected_copy(), neural_layer_connected_json_export(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_copy(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), neural_layer_lstm_copy(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_lstm_update(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_save(), neural_layer_recurrent_update(), pred_neural_eta(), and set_eta().

◆ eta_max

double Layer::eta_max

Maximum gradient descent rate.

Definition at line 86 of file neural_layer.h.

Referenced by layer_defaults(), layer_init_eta(), layer_mutate_eta(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ eta_min

double Layer::eta_min

Minimum gradient descent rate.

Definition at line 87 of file neural_layer.h.

Referenced by layer_defaults(), layer_init_eta(), layer_mutate_eta(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), and neural_layer_convolutional_save().

◆ f

double* Layer::f

LSTM.

Definition at line 116 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_forward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ function

int Layer::function

Layer activation function.

Definition at line 97 of file neural_layer.h.

Referenced by layer_defaults(), layer_mutate_functions(), mutate_functions(), neural_layer_connected_backward(), neural_layer_connected_copy(), neural_layer_connected_forward(), neural_layer_connected_init(), neural_layer_connected_json_export(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), and neural_layer_recurrent_save().

◆ g

double* Layer::g

LSTM.

Definition at line 118 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_forward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ h

double* Layer::h

LSTM.

Definition at line 121 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_avgpool_resize(), neural_layer_lstm_forward(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_maxpool_resize(), neural_layer_upsample_backward(), neural_layer_upsample_forward(), and pred_neural_expand().

◆ height

int Layer::height

Pool, Conv, and Upsample.

Definition at line 126 of file neural_layer.h.

Referenced by get_out_height(), layer_defaults(), max_pool(), neural_layer_avgpool_backward(), neural_layer_avgpool_copy(), neural_layer_avgpool_forward(), neural_layer_avgpool_init(), neural_layer_avgpool_json_export(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_upsample_backward(), neural_layer_upsample_copy(), neural_layer_upsample_forward(), neural_layer_upsample_init(), neural_layer_upsample_json_export(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ i

double* Layer::i

LSTM.

Definition at line 117 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), max_pool(), neural_layer_avgpool_backward(), neural_layer_avgpool_forward(), neural_layer_connected_resize(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_forward(), neural_layer_convolutional_resize(), neural_layer_dropout_backward(), neural_layer_dropout_forward(), neural_layer_lstm_backward(), neural_layer_lstm_forward(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_maxpool_backward(), neural_layer_maxpool_forward(), neural_layer_noise_backward(), neural_layer_noise_forward(), neural_layer_softmax_backward(), neural_layer_softmax_forward(), neural_layer_upsample_backward(), neural_layer_upsample_forward(), neural_learn(), and pred_neural_ae_to_classifier().

◆ indexes

int* Layer::indexes

Pool.

Definition at line 135 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layer_arrays(), neural_layer_maxpool_backward(), neural_layer_maxpool_forward(), neural_layer_maxpool_free(), and realloc_layer_arrays().

◆ input_layer

struct Layer* Layer::input_layer

Recursive layer input.

Definition at line 102 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_eta(), mutate_neurons(), mutate_weights(), neural_layer_recurrent_backward(), neural_layer_recurrent_copy(), neural_layer_recurrent_forward(), neural_layer_recurrent_free(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_rand(), neural_layer_recurrent_resize(), neural_layer_recurrent_save(), neural_layer_recurrent_update(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ layer_vptr

struct LayerVtbl const* Layer::layer_vptr

Functions acting on layers.

Definition at line 100 of file neural_layer.h.

Referenced by layer_backward(), layer_copy(), layer_defaults(), layer_forward(), layer_free(), layer_init(), layer_json_export(), layer_load(), layer_mutate(), layer_output(), layer_print(), layer_rand(), layer_resize(), layer_save(), layer_set_vptr(), layer_update(), neural_layer_avgpool_copy(), neural_layer_connected_copy(), neural_layer_convolutional_copy(), neural_layer_dropout_copy(), neural_layer_lstm_copy(), neural_layer_maxpool_copy(), neural_layer_noise_copy(), neural_layer_recurrent_copy(), neural_layer_softmax_copy(), and neural_layer_upsample_copy().

◆ max_neuron_grow

int Layer::max_neuron_grow

Maximum number neurons to add per mutation event.

Definition at line 93 of file neural_layer.h.

Referenced by layer_defaults(), layer_mutate_neurons(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_mutate_filter(), neural_layer_convolutional_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ max_outputs

int Layer::max_outputs

Maximum number of neurons in the layer.

Definition at line 92 of file neural_layer.h.

Referenced by layer_defaults(), layer_mutate_neurons(), neural_layer_avgpool_copy(), neural_layer_avgpool_init(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_mutate_filter(), neural_layer_convolutional_save(), neural_layer_dropout_copy(), neural_layer_dropout_init(), neural_layer_dropout_load(), neural_layer_dropout_resize(), neural_layer_dropout_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_noise_copy(), neural_layer_noise_init(), neural_layer_noise_load(), neural_layer_noise_resize(), neural_layer_noise_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_load(), neural_layer_recurrent_save(), neural_layer_softmax_copy(), neural_layer_softmax_init(), neural_layer_softmax_load(), neural_layer_softmax_resize(), neural_layer_softmax_save(), neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_load(), neural_layer_upsample_resize(), neural_layer_upsample_save(), and pred_neural_expand().

◆ momentum

double Layer::momentum

Momentum for gradient descent.

Definition at line 88 of file neural_layer.h.

Referenced by layer_defaults(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ mu

double* Layer::mu

Mutation rates.

Definition at line 84 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), mutate_connectivity(), mutate_eta(), mutate_functions(), mutate_neurons(), mutate_weights(), neural_layer_connected_copy(), neural_layer_connected_free(), neural_layer_connected_init(), neural_layer_connected_json_export(), neural_layer_connected_load(), neural_layer_connected_mutate(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_free(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_mutate(), neural_layer_convolutional_mutate_filter(), neural_layer_convolutional_save(), neural_layer_lstm_copy(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_mutate(), neural_layer_lstm_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_mutate(), and neural_layer_recurrent_save().

◆ n_active

int Layer::n_active

Number of active weights / connections.

Definition at line 96 of file neural_layer.h.

Referenced by cond_neural_connections(), layer_calc_n_active(), layer_defaults(), layer_ensure_input_represention(), layer_mutate_connectivity(), layer_weight_json(), layer_weight_rand(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_lstm_copy(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_load(), neural_layer_recurrent_resize(), neural_layer_recurrent_save(), neural_size(), pred_neural_connections(), and set_layer_n_active().

◆ n_biases

int Layer::n_biases

Number of layer biases.

Definition at line 95 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_defaults(), layer_guard_biases(), layer_mutate_weights(), layer_weight_clamp(), layer_weight_json(), layer_weight_rand(), malloc_layer_arrays(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), neural_layer_lstm_copy(), neural_layer_lstm_load(), neural_layer_lstm_save(), realloc_layer_arrays(), and set_layer_n_biases().

◆ n_filters

int Layer::n_filters

Conv.

Definition at line 136 of file neural_layer.h.

Referenced by cond_neural_neurons(), layer_defaults(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_mutate_filter(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), and pred_neural_neurons().

◆ n_inputs

int Layer::n_inputs

Number of layer inputs.

Definition at line 90 of file neural_layer.h.

Referenced by xcsf.utils.viz.DGPViz::__init__(), xcsf.utils.viz.DGPViz::draw(), layer_add_neurons(), layer_defaults(), layer_ensure_input_represention(), layer_mutate_connectivity(), max_pool(), neural_insert(), neural_layer_avgpool_copy(), neural_layer_avgpool_init(), neural_layer_avgpool_json_export(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_connected_backward(), neural_layer_connected_copy(), neural_layer_connected_forward(), neural_layer_connected_init(), neural_layer_connected_json_export(), neural_layer_connected_load(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_dropout_backward(), neural_layer_dropout_copy(), neural_layer_dropout_forward(), neural_layer_dropout_init(), neural_layer_dropout_json_export(), neural_layer_dropout_load(), neural_layer_dropout_resize(), neural_layer_dropout_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_resize(), neural_layer_lstm_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_noise_backward(), neural_layer_noise_copy(), neural_layer_noise_forward(), neural_layer_noise_init(), neural_layer_noise_json_export(), neural_layer_noise_load(), neural_layer_noise_resize(), neural_layer_noise_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_resize(), neural_layer_recurrent_save(), neural_layer_softmax_backward(), neural_layer_softmax_copy(), neural_layer_softmax_forward(), neural_layer_softmax_init(), neural_layer_softmax_json_export(), neural_layer_softmax_load(), neural_layer_softmax_resize(), neural_layer_softmax_save(), neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_json_export(), neural_layer_upsample_load(), neural_layer_upsample_resize(), neural_layer_upsample_save(), neural_resize(), and pred_neural_expand().

◆ n_outputs

int Layer::n_outputs

Number of layer outputs.

Definition at line 91 of file neural_layer.h.

Referenced by cond_neural_neurons(), layer_add_neurons(), layer_defaults(), layer_ensure_input_represention(), layer_guard_outputs(), layer_mutate_connectivity(), layer_mutate_neurons(), malloc_layer_arrays(), mutate_neurons(), neural_create(), neural_insert(), neural_layer_avgpool_copy(), neural_layer_avgpool_init(), neural_layer_avgpool_json_export(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_connected_backward(), neural_layer_connected_copy(), neural_layer_connected_forward(), neural_layer_connected_init(), neural_layer_connected_json_export(), neural_layer_connected_load(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_dropout_copy(), neural_layer_dropout_init(), neural_layer_dropout_json_export(), neural_layer_dropout_load(), neural_layer_dropout_resize(), neural_layer_dropout_save(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_resize(), neural_layer_lstm_save(), neural_layer_maxpool_backward(), neural_layer_maxpool_copy(), neural_layer_maxpool_forward(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_noise_copy(), neural_layer_noise_init(), neural_layer_noise_json_export(), neural_layer_noise_load(), neural_layer_noise_resize(), neural_layer_noise_save(), neural_layer_recurrent_backward(), neural_layer_recurrent_copy(), neural_layer_recurrent_forward(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_save(), neural_layer_softmax_copy(), neural_layer_softmax_init(), neural_layer_softmax_json_export(), neural_layer_softmax_load(), neural_layer_softmax_resize(), neural_layer_softmax_save(), neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_json_export(), neural_layer_upsample_load(), neural_layer_upsample_resize(), neural_layer_upsample_save(), neural_learn(), neural_mutate(), neural_remove(), pred_neural_expand(), pred_neural_neurons(), realloc_layer_arrays(), and reset_layer_deltas().

◆ n_weights

int Layer::n_weights

Number of layer weights.

Definition at line 94 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_calc_n_active(), layer_defaults(), layer_guard_weights(), layer_mutate_connectivity(), layer_mutate_weights(), layer_weight_clamp(), layer_weight_json(), layer_weight_rand(), malloc_layer_arrays(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), neural_layer_lstm_copy(), neural_layer_lstm_load(), neural_layer_lstm_save(), realloc_layer_arrays(), and set_layer_n_weights().

◆ o

double* Layer::o

LSTM.

Definition at line 119 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_forward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ options

uint32_t Layer::options

Bitwise layer options permitting evolution, SGD, etc.

Definition at line 77 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_defaults(), layer_init_eta(), mutate_connectivity(), mutate_eta(), mutate_functions(), mutate_neurons(), mutate_weights(), neural_layer_connected_backward(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_mutate(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_mutate(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), neural_layer_lstm_mutate(), neural_layer_lstm_save(), neural_layer_lstm_update(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_load(), neural_layer_recurrent_save(), and neural_layer_recurrent_update().

◆ out_c

int Layer::out_c

Pool, Conv, and Upsample.

Definition at line 132 of file neural_layer.h.

Referenced by layer_defaults(), mutate_neurons(), neural_create(), neural_layer_avgpool_copy(), neural_layer_avgpool_init(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_copy(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_dropout_copy(), neural_layer_dropout_init(), neural_layer_dropout_load(), neural_layer_dropout_resize(), neural_layer_dropout_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_noise_copy(), neural_layer_noise_init(), neural_layer_noise_load(), neural_layer_noise_resize(), neural_layer_noise_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_load(), neural_layer_softmax_copy(), neural_layer_softmax_init(), neural_layer_softmax_load(), neural_layer_softmax_resize(), neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ out_h

int Layer::out_h

Pool, Conv, and Upsample.

Definition at line 131 of file neural_layer.h.

Referenced by get_workspace_size(), layer_defaults(), mutate_neurons(), neural_create(), neural_layer_avgpool_copy(), neural_layer_avgpool_init(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_dropout_copy(), neural_layer_dropout_init(), neural_layer_dropout_load(), neural_layer_dropout_resize(), neural_layer_dropout_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), neural_layer_maxpool_copy(), neural_layer_maxpool_forward(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_noise_copy(), neural_layer_noise_init(), neural_layer_noise_load(), neural_layer_noise_resize(), neural_layer_noise_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_load(), neural_layer_softmax_copy(), neural_layer_softmax_init(), neural_layer_softmax_load(), neural_layer_softmax_resize(), neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ out_w

int Layer::out_w

Pool, Conv, and Upsample.

Definition at line 130 of file neural_layer.h.

Referenced by get_workspace_size(), layer_defaults(), mutate_neurons(), neural_create(), neural_layer_avgpool_copy(), neural_layer_avgpool_init(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_connected_copy(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_dropout_copy(), neural_layer_dropout_init(), neural_layer_dropout_load(), neural_layer_dropout_resize(), neural_layer_dropout_save(), neural_layer_lstm_copy(), neural_layer_lstm_init(), neural_layer_lstm_load(), neural_layer_maxpool_copy(), neural_layer_maxpool_forward(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_noise_copy(), neural_layer_noise_init(), neural_layer_noise_load(), neural_layer_noise_resize(), neural_layer_noise_save(), neural_layer_recurrent_copy(), neural_layer_recurrent_init(), neural_layer_recurrent_load(), neural_layer_softmax_copy(), neural_layer_softmax_init(), neural_layer_softmax_load(), neural_layer_softmax_resize(), neural_layer_upsample_copy(), neural_layer_upsample_init(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ output

double* Layer::output

Current neuron outputs (after activation function)

Definition at line 76 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_add_neurons(), layer_defaults(), malloc_layer_arrays(), mutate_neurons(), neural_insert(), neural_layer_avgpool_forward(), neural_layer_avgpool_free(), neural_layer_avgpool_output(), neural_layer_connected_forward(), neural_layer_connected_free(), neural_layer_connected_output(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_forward(), neural_layer_convolutional_free(), neural_layer_convolutional_output(), neural_layer_convolutional_resize(), neural_layer_dropout_forward(), neural_layer_dropout_output(), neural_layer_lstm_forward(), neural_layer_lstm_output(), neural_layer_maxpool_forward(), neural_layer_maxpool_free(), neural_layer_maxpool_output(), neural_layer_noise_forward(), neural_layer_noise_output(), neural_layer_recurrent_copy(), neural_layer_recurrent_forward(), neural_layer_recurrent_init(), neural_layer_recurrent_output(), neural_layer_softmax_forward(), neural_layer_softmax_output(), neural_layer_upsample_forward(), neural_layer_upsample_output(), neural_learn(), neural_remove(), and realloc_layer_arrays().

◆ output_layer

struct Layer* Layer::output_layer

Recursive layer output.

Definition at line 104 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_eta(), mutate_functions(), mutate_neurons(), mutate_weights(), neural_layer_recurrent_backward(), neural_layer_recurrent_copy(), neural_layer_recurrent_forward(), neural_layer_recurrent_free(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_rand(), neural_layer_recurrent_resize(), neural_layer_recurrent_save(), neural_layer_recurrent_update(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ pad

int Layer::pad

Pool and Conv.

Definition at line 129 of file neural_layer.h.

Referenced by get_out_height(), get_out_width(), layer_defaults(), max_pool(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), and neural_layer_maxpool_save().

◆ prev_cell

double* Layer::prev_cell

LSTM.

Definition at line 115 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), and neural_layer_lstm_backward().

◆ prev_state

double* Layer::prev_state

Previous state for recursive layers.

Definition at line 101 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_recurrent_backward(), neural_layer_recurrent_copy(), neural_layer_recurrent_forward(), neural_layer_recurrent_load(), neural_layer_recurrent_save(), and realloc_layer_arrays().

◆ probability

double Layer::probability

Usage depends on layer implementation.

Definition at line 99 of file neural_layer.h.

Referenced by layer_defaults(), neural_layer_dropout_backward(), neural_layer_dropout_copy(), neural_layer_dropout_forward(), neural_layer_dropout_init(), neural_layer_dropout_json_export(), neural_layer_dropout_load(), neural_layer_dropout_save(), neural_layer_noise_copy(), neural_layer_noise_forward(), neural_layer_noise_init(), neural_layer_noise_json_export(), neural_layer_noise_load(), and neural_layer_noise_save().

◆ recurrent_function

int Layer::recurrent_function

LSTM.

Definition at line 105 of file neural_layer.h.

Referenced by layer_defaults(), layer_mutate_functions(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_init(), and neural_layer_lstm_json_export().

◆ scale

double Layer::scale

Usage depends on layer implementation.

Definition at line 98 of file neural_layer.h.

Referenced by layer_defaults(), neural_layer_dropout_backward(), neural_layer_dropout_copy(), neural_layer_dropout_forward(), neural_layer_dropout_init(), neural_layer_dropout_load(), neural_layer_dropout_save(), neural_layer_noise_copy(), neural_layer_noise_forward(), neural_layer_noise_init(), neural_layer_noise_json_export(), neural_layer_noise_load(), neural_layer_noise_save(), neural_layer_softmax_copy(), neural_layer_softmax_forward(), neural_layer_softmax_init(), neural_layer_softmax_json_export(), neural_layer_softmax_load(), and neural_layer_softmax_save().

◆ self_layer

struct Layer* Layer::self_layer

Recursive layer self.

Definition at line 103 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_eta(), mutate_neurons(), mutate_weights(), neural_layer_recurrent_backward(), neural_layer_recurrent_copy(), neural_layer_recurrent_forward(), neural_layer_recurrent_free(), neural_layer_recurrent_init(), neural_layer_recurrent_json_export(), neural_layer_recurrent_load(), neural_layer_recurrent_rand(), neural_layer_recurrent_resize(), neural_layer_recurrent_save(), neural_layer_recurrent_update(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ size

int Layer::size

Pool and Conv.

Definition at line 133 of file neural_layer.h.

Referenced by get_out_height(), get_out_width(), get_workspace_size(), layer_defaults(), max_pool(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), and neural_size().

◆ state

double* Layer::state

Current neuron states (before activation function)

Definition at line 75 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_add_neurons(), layer_defaults(), malloc_layer_arrays(), neural_layer_connected_backward(), neural_layer_connected_forward(), neural_layer_connected_free(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_forward(), neural_layer_convolutional_free(), neural_layer_convolutional_resize(), neural_layer_dropout_backward(), neural_layer_dropout_forward(), neural_layer_lstm_load(), neural_layer_lstm_save(), neural_layer_noise_forward(), neural_layer_recurrent_backward(), neural_layer_recurrent_forward(), neural_layer_recurrent_load(), neural_layer_recurrent_save(), and realloc_layer_arrays().

◆ stride

int Layer::stride

Pool, Conv, and Upsample.

Definition at line 134 of file neural_layer.h.

Referenced by get_out_height(), get_out_width(), layer_defaults(), max_pool(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_upsample_backward(), neural_layer_upsample_copy(), neural_layer_upsample_forward(), neural_layer_upsample_init(), neural_layer_upsample_json_export(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ temp

double* Layer::temp

LSTM.

Definition at line 122 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_convolutional_backward(), neural_layer_convolutional_forward(), neural_layer_convolutional_free(), neural_layer_lstm_backward(), neural_layer_lstm_forward(), neural_layer_lstm_load(), neural_layer_lstm_save(), and realloc_layer_arrays().

◆ temp2

double* Layer::temp2

LSTM.

Definition at line 123 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ temp3

double* Layer::temp3

LSTM.

Definition at line 124 of file neural_layer.h.

Referenced by free_layer_arrays(), layer_defaults(), malloc_layer_arrays(), neural_layer_lstm_backward(), neural_layer_lstm_load(), and neural_layer_lstm_save().

◆ type

int Layer::type

Layer type: CONNECTED, DROPOUT, etc.

Definition at line 74 of file neural_layer.h.

Referenced by cond_neural_neurons(), layer_defaults(), layer_init(), layer_load(), layer_mutate_functions(), layer_save(), layer_set_vptr(), neural_layer_avgpool_copy(), neural_layer_connected_copy(), neural_layer_convolutional_copy(), neural_layer_dropout_copy(), neural_layer_lstm_copy(), neural_layer_maxpool_copy(), neural_layer_noise_copy(), neural_layer_recurrent_copy(), neural_layer_softmax_copy(), neural_layer_upsample_copy(), neural_size(), and pred_neural_neurons().

◆ uf

struct Layer* Layer::uf

LSTM.

Definition at line 106 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_eta(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_resize(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ ug

struct Layer* Layer::ug

LSTM.

Definition at line 108 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_resize(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ ui

struct Layer* Layer::ui

LSTM.

Definition at line 107 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_resize(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ uo

struct Layer* Layer::uo

LSTM.

Definition at line 109 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_resize(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ weight_active

bool* Layer::weight_active

Whether each connection is present in the layer.

Definition at line 79 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_calc_n_active(), layer_defaults(), layer_ensure_input_represention(), layer_mutate_connectivity(), layer_mutate_weights(), layer_weight_clamp(), layer_weight_rand(), malloc_layer_arrays(), neural_layer_connected_copy(), neural_layer_connected_free(), neural_layer_connected_init(), neural_layer_connected_load(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_copy(), neural_layer_convolutional_free(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), and realloc_layer_arrays().

◆ weight_updates

double* Layer::weight_updates

Updates to weights.

Definition at line 82 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_defaults(), malloc_layer_arrays(), neural_layer_connected_backward(), neural_layer_connected_free(), neural_layer_connected_load(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_free(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), and realloc_layer_arrays().

◆ weights

double* Layer::weights

Weights for calculating neuron states.

Definition at line 78 of file neural_layer.h.

Referenced by layer_add_neurons(), layer_defaults(), layer_ensure_input_represention(), layer_mutate_connectivity(), layer_mutate_weights(), layer_weight_clamp(), layer_weight_json(), layer_weight_rand(), malloc_layer_arrays(), neural_layer_connected_backward(), neural_layer_connected_copy(), neural_layer_connected_forward(), neural_layer_connected_free(), neural_layer_connected_init(), neural_layer_connected_json_export(), neural_layer_connected_load(), neural_layer_connected_resize(), neural_layer_connected_save(), neural_layer_connected_update(), neural_layer_convolutional_add_filters(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_free(), neural_layer_convolutional_init(), neural_layer_convolutional_json_export(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_convolutional_update(), and realloc_layer_arrays().

◆ wf

struct Layer* Layer::wf

LSTM.

Definition at line 110 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ wg

struct Layer* Layer::wg

LSTM.

Definition at line 112 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ wi

struct Layer* Layer::wi

LSTM.

Definition at line 111 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

◆ width

int Layer::width

Pool, Conv, and Upsample.

Definition at line 127 of file neural_layer.h.

Referenced by get_out_width(), layer_defaults(), max_pool(), neural_layer_avgpool_backward(), neural_layer_avgpool_copy(), neural_layer_avgpool_forward(), neural_layer_avgpool_init(), neural_layer_avgpool_json_export(), neural_layer_avgpool_load(), neural_layer_avgpool_resize(), neural_layer_avgpool_save(), neural_layer_convolutional_backward(), neural_layer_convolutional_copy(), neural_layer_convolutional_forward(), neural_layer_convolutional_init(), neural_layer_convolutional_load(), neural_layer_convolutional_resize(), neural_layer_convolutional_save(), neural_layer_maxpool_copy(), neural_layer_maxpool_init(), neural_layer_maxpool_json_export(), neural_layer_maxpool_load(), neural_layer_maxpool_resize(), neural_layer_maxpool_save(), neural_layer_upsample_backward(), neural_layer_upsample_copy(), neural_layer_upsample_forward(), neural_layer_upsample_init(), neural_layer_upsample_json_export(), neural_layer_upsample_load(), neural_layer_upsample_resize(), and neural_layer_upsample_save().

◆ wo

struct Layer* Layer::wo

LSTM.

Definition at line 113 of file neural_layer.h.

Referenced by layer_defaults(), malloc_layers(), mutate_connectivity(), mutate_neurons(), mutate_weights(), neural_layer_lstm_backward(), neural_layer_lstm_copy(), neural_layer_lstm_forward(), neural_layer_lstm_free(), neural_layer_lstm_init(), neural_layer_lstm_json_export(), neural_layer_lstm_load(), neural_layer_lstm_rand(), neural_layer_lstm_save(), neural_layer_lstm_update(), reset_layer_deltas(), set_eta(), set_layer_n_active(), set_layer_n_biases(), and set_layer_n_weights().

The documentation for this struct was generated from the following file: