| @@ 9-36 (lines=28) @@ | ||
| 6 | ||
| 7 | use Phpml\NeuralNetwork\ActivationFunction; |
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| 8 | ||
| 9 | class HyperbolicTangent implements ActivationFunction |
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| 10 | { |
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| 11 | /** |
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| 12 | * @var float |
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| 13 | */ |
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| 14 | private $beta; |
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| 15 | ||
| 16 | public function __construct(float $beta = 1.0) |
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| 17 | { |
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| 18 | $this->beta = $beta; |
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| 19 | } |
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| 20 | ||
| 21 | /** |
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| 22 | * @param float|int $value |
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| 23 | */ |
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| 24 | public function compute($value): float |
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| 25 | { |
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| 26 | return tanh($this->beta * $value); |
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| 27 | } |
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| 28 | ||
| 29 | /** |
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| 30 | * @param float|int $value |
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| 31 | */ |
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| 32 | public function differentiate($value): float |
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| 33 | { |
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| 34 | return 1 - pow($value, 2); |
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| 35 | } |
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| 36 | } |
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| 37 | ||
| @@ 9-36 (lines=28) @@ | ||
| 6 | ||
| 7 | use Phpml\NeuralNetwork\ActivationFunction; |
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| 8 | ||
| 9 | class Sigmoid implements ActivationFunction |
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| 10 | { |
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| 11 | /** |
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| 12 | * @var float |
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| 13 | */ |
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| 14 | private $beta; |
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| 15 | ||
| 16 | public function __construct(float $beta = 1.0) |
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| 17 | { |
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| 18 | $this->beta = $beta; |
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| 19 | } |
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| 20 | ||
| 21 | /** |
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| 22 | * @param float|int $value |
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| 23 | */ |
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| 24 | public function compute($value): float |
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| 25 | { |
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| 26 | return 1 / (1 + exp(-$this->beta * $value)); |
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| 27 | } |
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| 28 | ||
| 29 | /** |
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| 30 | * @param float|int $value |
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| 31 | */ |
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| 32 | public function differentiate($value): float |
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| 33 | { |
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| 34 | return $value * (1 - $value); |
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| 35 | } |
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| 36 | } |
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| 37 | ||