backprop.c File Reference

#include "backprop.h"

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Functions
void	soft_max (TYPE net_outputs[possible_outputs], TYPE activations[possible_outputs])
void	RELU (TYPE activations[nodes_per_layer], TYPE dactivations[nodes_per_layer], int size)
void	add_bias_to_activations (TYPE biases[nodes_per_layer], TYPE activations[nodes_per_layer], int size)
void	matrix_vector_product_with_bias_input_layer (TYPE biases[nodes_per_layer], TYPE weights[input_dimension *nodes_per_layer], TYPE activations[nodes_per_layer], TYPE input_sample[input_dimension])
void	matrix_vector_product_with_bias_second_layer (TYPE biases[nodes_per_layer], TYPE weights[nodes_per_layer *nodes_per_layer], TYPE activations[nodes_per_layer], TYPE input_activations[nodes_per_layer])
void	matrix_vector_product_with_bias_output_layer (TYPE biases[possible_outputs], TYPE weights[nodes_per_layer *possible_outputs], TYPE activations[possible_outputs], TYPE input_activations[nodes_per_layer])
void	take_difference (TYPE net_outputs[possible_outputs], TYPE solutions[possible_outputs], TYPE output_difference[possible_outputs], TYPE dactivations[possible_outputs])
void	get_delta_matrix_weights3 (TYPE delta_weights3[nodes_per_layer *possible_outputs], TYPE output_difference[possible_outputs], TYPE last_activations[nodes_per_layer])
void	get_oracle_activations2 (TYPE weights3[nodes_per_layer *possible_outputs], TYPE output_differences[possible_outputs], TYPE oracle_activations[nodes_per_layer], TYPE dactivations[nodes_per_layer])
void	get_delta_matrix_weights2 (TYPE delta_weights2[nodes_per_layer *nodes_per_layer], TYPE output_difference[nodes_per_layer], TYPE last_activations[nodes_per_layer])
void	get_oracle_activations1 (TYPE weights2[nodes_per_layer *nodes_per_layer], TYPE output_differences[nodes_per_layer], TYPE oracle_activations[nodes_per_layer], TYPE dactivations[nodes_per_layer])
void	get_delta_matrix_weights1 (TYPE delta_weights1[input_dimension *nodes_per_layer], TYPE output_difference[nodes_per_layer], TYPE last_activations[input_dimension])
void	update_weights (TYPE weights1[input_dimension *nodes_per_layer], TYPE weights2[nodes_per_layer *nodes_per_layer], TYPE weights3[nodes_per_layer *possible_outputs], TYPE d_weights1[input_dimension *nodes_per_layer], TYPE d_weights2[nodes_per_layer *nodes_per_layer], TYPE d_weights3[nodes_per_layer *possible_outputs], TYPE biases1[nodes_per_layer], TYPE biases2[nodes_per_layer], TYPE biases3[possible_outputs], TYPE d_biases1[nodes_per_layer], TYPE d_biases2[nodes_per_layer], TYPE d_biases3[possible_outputs])
void	backprop (TYPE weights1[input_dimension *nodes_per_layer], TYPE weights2[nodes_per_layer *nodes_per_layer], TYPE weights3[nodes_per_layer *possible_outputs], TYPE biases1[nodes_per_layer], TYPE biases2[nodes_per_layer], TYPE biases3[possible_outputs], TYPE training_data[training_sets *input_dimension], TYPE training_targets[training_sets *possible_outputs])

Function Documentation

add_bias_to_activations()

void add_bias_to_activations	(	TYPE	biases[nodes_per_layer],
		TYPE	activations[nodes_per_layer],
		int	size
	)

Definition at line 24 of file backprop.c.

Referenced by matrix_vector_product_with_bias_input_layer(), matrix_vector_product_with_bias_output_layer(), and matrix_vector_product_with_bias_second_layer().

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backprop()

void backprop	(	TYPE	weights1[input_dimension *nodes_per_layer],
		TYPE	weights2[nodes_per_layer *nodes_per_layer],
		TYPE	weights3[nodes_per_layer *possible_outputs],
		TYPE	biases1[nodes_per_layer],
		TYPE	biases2[nodes_per_layer],
		TYPE	biases3[possible_outputs],
		TYPE	training_data[training_sets *input_dimension],
		TYPE	training_targets[training_sets *possible_outputs]
	)

Definition at line 239 of file backprop.c.

References bench_args_t::biases1, bench_args_t::biases2, bench_args_t::biases3, get_delta_matrix_weights1(), get_delta_matrix_weights2(), get_delta_matrix_weights3(), get_oracle_activations1(), get_oracle_activations2(), matrix_vector_product_with_bias_input_layer(), matrix_vector_product_with_bias_output_layer(), matrix_vector_product_with_bias_second_layer(), nodes_per_layer, possible_outputs, RELU(), soft_max(), take_difference(), bench_args_t::training_data, training_sets, bench_args_t::training_targets, TYPE, update_weights(), bench_args_t::weights1, bench_args_t::weights2, and bench_args_t::weights3.

Referenced by run_benchmark().

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get_delta_matrix_weights1()

void get_delta_matrix_weights1	(	TYPE	delta_weights1[input_dimension *nodes_per_layer],
		TYPE	output_difference[nodes_per_layer],
		TYPE	last_activations[input_dimension]
	)

Definition at line 135 of file backprop.c.

References input_dimension, and nodes_per_layer.

Referenced by backprop().

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get_delta_matrix_weights2()

void get_delta_matrix_weights2	(	TYPE	delta_weights2[nodes_per_layer *nodes_per_layer],
		TYPE	output_difference[nodes_per_layer],
		TYPE	last_activations[nodes_per_layer]
	)

Definition at line 110 of file backprop.c.

References nodes_per_layer.

Referenced by backprop().

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get_delta_matrix_weights3()

void get_delta_matrix_weights3	(	TYPE	delta_weights3[nodes_per_layer *possible_outputs],
		TYPE	output_difference[possible_outputs],
		TYPE	last_activations[nodes_per_layer]
	)

Definition at line 85 of file backprop.c.

References nodes_per_layer, and possible_outputs.

Referenced by backprop().

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get_oracle_activations1()

void get_oracle_activations1	(	TYPE	weights2[nodes_per_layer *nodes_per_layer],
		TYPE	output_differences[nodes_per_layer],
		TYPE	oracle_activations[nodes_per_layer],
		TYPE	dactivations[nodes_per_layer]
	)

Definition at line 121 of file backprop.c.

References nodes_per_layer, TYPE, and bench_args_t::weights2.

Referenced by backprop().

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get_oracle_activations2()

void get_oracle_activations2	(	TYPE	weights3[nodes_per_layer *possible_outputs],
		TYPE	output_differences[possible_outputs],
		TYPE	oracle_activations[nodes_per_layer],
		TYPE	dactivations[nodes_per_layer]
	)

Definition at line 96 of file backprop.c.

References nodes_per_layer, possible_outputs, TYPE, and bench_args_t::weights3.

Referenced by backprop().

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matrix_vector_product_with_bias_input_layer()

void matrix_vector_product_with_bias_input_layer	(	TYPE	biases[nodes_per_layer],
		TYPE	weights[input_dimension *nodes_per_layer],
		TYPE	activations[nodes_per_layer],
		TYPE	input_sample[input_dimension]
	)

Definition at line 33 of file backprop.c.

References add_bias_to_activations(), input_dimension, nodes_per_layer, and TYPE.

Referenced by backprop().

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matrix_vector_product_with_bias_output_layer()

void matrix_vector_product_with_bias_output_layer	(	TYPE	biases[possible_outputs],
		TYPE	weights[nodes_per_layer *possible_outputs],
		TYPE	activations[possible_outputs],
		TYPE	input_activations[nodes_per_layer]
	)

Definition at line 61 of file backprop.c.

References add_bias_to_activations(), nodes_per_layer, possible_outputs, and TYPE.

Referenced by backprop().

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matrix_vector_product_with_bias_second_layer()

void matrix_vector_product_with_bias_second_layer	(	TYPE	biases[nodes_per_layer],
		TYPE	weights[nodes_per_layer *nodes_per_layer],
		TYPE	activations[nodes_per_layer],
		TYPE	input_activations[nodes_per_layer]
	)

Definition at line 47 of file backprop.c.

References add_bias_to_activations(), nodes_per_layer, and TYPE.

Referenced by backprop().

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RELU()

void RELU	(	TYPE	activations[nodes_per_layer],
		TYPE	dactivations[nodes_per_layer],
		int	size
	)

Definition at line 16 of file backprop.c.

References exp.

Referenced by backprop().

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soft_max()

void soft_max	(	TYPE	net_outputs[possible_outputs],
		TYPE	activations[possible_outputs]
	)

Definition at line 3 of file backprop.c.

References exp, possible_outputs, sum, and TYPE.

Referenced by backprop().

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take_difference()

void take_difference	(	TYPE	net_outputs[possible_outputs],
		TYPE	solutions[possible_outputs],
		TYPE	output_difference[possible_outputs],
		TYPE	dactivations[possible_outputs]
	)

Definition at line 75 of file backprop.c.

References possible_outputs.

Referenced by backprop().

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update_weights()

void update_weights	(	TYPE	weights1[input_dimension *nodes_per_layer],
		TYPE	weights2[nodes_per_layer *nodes_per_layer],
		TYPE	weights3[nodes_per_layer *possible_outputs],
		TYPE	d_weights1[input_dimension *nodes_per_layer],
		TYPE	d_weights2[nodes_per_layer *nodes_per_layer],
		TYPE	d_weights3[nodes_per_layer *possible_outputs],
		TYPE	biases1[nodes_per_layer],
		TYPE	biases2[nodes_per_layer],
		TYPE	biases3[possible_outputs],
		TYPE	d_biases1[nodes_per_layer],
		TYPE	d_biases2[nodes_per_layer],
		TYPE	d_biases3[possible_outputs]
	)

Definition at line 146 of file backprop.c.

References bench_args_t::biases1, bench_args_t::biases2, bench_args_t::biases3, input_dimension, learning_rate, nodes_per_layer, possible_outputs, bench_args_t::weights1, bench_args_t::weights2, and bench_args_t::weights3.

Referenced by backprop().

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