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<?php
declare(strict_types=1);
namespace Phpml\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction;
class Sigmoid implements ActivationFunction
{
/**
* @var float
*/
private $beta;
public function __construct(float $beta = 1.0)
{
$this->beta = $beta;
}
/**
* @param float|int $value
*/
public function compute($value): float
{
return 1 / (1 + exp(-$this->beta * $value));
}
/**
* @param float|int $value
* @param float|int $computedvalue
*/
public function differentiate($value, $computedvalue): float
{
return $computedvalue * (1 - $computedvalue);
}
}
| Name | Type | Size | Permission | Actions |
|---|---|---|---|---|
| BinaryStep.php | File | 583 B | 0777 |
|
| Gaussian.php | File | 530 B | 0777 |
|
| HyperbolicTangent.php | File | 683 B | 0777 |
|
| PReLU.php | File | 705 B | 0777 |
|
| Sigmoid.php | File | 697 B | 0777 |
|
| ThresholdedReLU.php | File | 720 B | 0777 |
|