tools.h File Reference

Some useful functions. More...

#include "config.h"
#include <stdlib.h>
#include <math.h>
#include <time.h>

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Macros
#define	F_ACT_ELU_ALPHA   0.01
#define	F_COST_QUADRATIC_CONSTANT   1/2

Functions
double	f_init_rand_norm ()
	Weight and bias initialization function for hidden and output layer. More...
double	f_init_input ()
	Weight and bias initialization function input layer. More...
double	f_act_sigmoid (double n)
	Sigmoid activation function (for feedforward algorithm) More...
double	f_act_sigmoid_de (double n)
	Derivative sigmoid activation function (for backpropagation algorithm) More...
double	f_act_input (double n)
	Activation function for input layer (for feedforward algorithm) More...
double	f_act_input_de (double n)
	Derivative activation function for input layer (for backpropagation algorithm) More...
double	f_act_relu (double n)
	ReLu activation function (for feedforward algorithm) More...
double	f_act_relu_de (double n)
	Derivative ReLu activation function (for backpropagation algorithm) More...
double	f_act_softplus (double n)
	SoftPlus activation function (for feedforward algorithm) More...
double	f_act_softplus_de (double n)
	Derivative SoftPlus activation function (for backpropagation algorithm) More...
double	f_act_elu (double n)
	Elu activation function (for feedforward algorithm) More...
double	f_act_elu_de (double n)
	Derivative Elu activation function (for backpropagation algorithm) More...
double	f_act_swish (double n)
	Swish activation function (for feedforward algorithm) More...
double	f_act_swish_de (double n)
	Derivative Swish activation function (for backpropagation algorithm) More...
double	f_cost_quadratic_loss (double o, double t)
	Quadratic cost function. More...
double	f_cost_quadratic_loss_de (double o, double t)
	Derivative Quadratic cost function(for backpropagation algorithm) More...

Detailed Description

Some useful functions.

Author

Cedric FARINAZZO

Version

0.1

Date

9 may 2019

Some useful functions such as activation functions, cost functions or weight/bias initialization functions

Definition in file tools.h.

Macro Definition Documentation

F_ACT_ELU_ALPHA

#define F_ACT_ELU_ALPHA   0.01

Elu function constant: default 0.01

Definition at line 107 of file tools.h.

F_COST_QUADRATIC_CONSTANT

#define F_COST_QUADRATIC_CONSTANT   1/2

Quadratic loss function constant: default 1/2

Definition at line 149 of file tools.h.

Function Documentation

f_act_elu()

f_act_elu

(

double

n

)

Elu activation function (for feedforward algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 59 of file tools.c.

f_act_elu_de()

f_act_elu_de

(

double

n

)

Derivative Elu activation function (for backpropagation algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 64 of file tools.c.

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f_act_input()

f_act_input

(

double

n

)

Activation function for input layer (for feedforward algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 29 of file tools.c.

f_act_input_de()

f_act_input_de

(

double

n

)

Derivative activation function for input layer (for backpropagation algorithm)

Parameters

[in]

n

activation sum

Returns

double

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f_act_relu()

f_act_relu

(

double

n

)

ReLu activation function (for feedforward algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 39 of file tools.c.

f_act_relu_de()

f_act_relu_de

(

double

n

)

Derivative ReLu activation function (for backpropagation algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 44 of file tools.c.

f_act_sigmoid()

f_act_sigmoid

(

double

n

)

Sigmoid activation function (for feedforward algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 19 of file tools.c.

f_act_sigmoid_de()

f_act_sigmoid_de

(

double

n

)

Derivative sigmoid activation function (for backpropagation algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 24 of file tools.c.

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f_act_softplus()

f_act_softplus

(

double

n

)

SoftPlus activation function (for feedforward algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 49 of file tools.c.

f_act_softplus_de()

f_act_softplus_de

(

double

n

)

Derivative SoftPlus activation function (for backpropagation algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 54 of file tools.c.

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f_act_swish()

f_act_swish

(

double

n

)

Swish activation function (for feedforward algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 69 of file tools.c.

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f_act_swish_de()

f_act_swish_de

(

double

n

)

Derivative Swish activation function (for backpropagation algorithm)

Parameters

[in]

n

activation sum

Returns

double

Definition at line 74 of file tools.c.

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f_cost_quadratic_loss()

f_cost_quadratic_loss	(	double	o,
		double	t
	)

Quadratic cost function.

Parameters

[in]	o	output
[in]	t	target

Returns

double

Definition at line 82 of file tools.c.

f_cost_quadratic_loss_de()

f_cost_quadratic_loss_de	(	double	o,
		double	t
	)

Derivative Quadratic cost function(for backpropagation algorithm)

Parameters

[in]	o	output
[in]	t	target

Returns

double

Definition at line 87 of file tools.c.

f_init_input()

f_init_input

(

)

Weight and bias initialization function input layer.

Returns

1

Definition at line 12 of file tools.c.

f_init_rand_norm()

f_init_rand_norm

(

)

Weight and bias initialization function for hidden and output layer.

Returns

a double between -1 and 1

Definition at line 7 of file tools.c.