@@ 9-37 (lines=29) @@ | ||
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 | * @param float|int $computedvalue |
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32 | */ |
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33 | public function differentiate($value, $computedvalue): float |
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34 | { |
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35 | return 1 - pow($computedvalue, 2); |
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36 | } |
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37 | } |
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38 |
@@ 9-37 (lines=29) @@ | ||
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 | * @param float|int $computedvalue |
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32 | */ |
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33 | public function differentiate($value, $computedvalue): float |
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34 | { |
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35 | return $computedvalue * (1 - $computedvalue); |
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36 | } |
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37 | } |
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38 |