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<?php declare(strict_types=1); namespace Phpml\NeuralNetwork\Network; use Phpml\NeuralNetwork\Layer; use Phpml\NeuralNetwork\Network; use Phpml\NeuralNetwork\Node\Input; use Phpml\NeuralNetwork\Node\Neuron; abstract class LayeredNetwork implements Network { /** * @var Layer[] */ protected $layers = []; public function addLayer(Layer $layer): void { $this->layers[] = $layer; } /** * @return Layer[] */ public function getLayers(): array { return $this->layers; } public function removeLayers(): void { unset($this->layers); } public function getOutputLayer(): Layer { return $this->layers[count($this->layers) - 1]; } public function getOutput(): array { $result = []; foreach ($this->getOutputLayer()->getNodes() as $neuron) { $result[] = $neuron->getOutput(); } return $result; } /** * @param mixed $input */ public function setInput($input): Network { $firstLayer = $this->layers[0]; foreach ($firstLayer->getNodes() as $key => $neuron) { if ($neuron instanceof Input) { $neuron->setInput($input[$key]); } } foreach ($this->getLayers() as $layer) { foreach ($layer->getNodes() as $node) { if ($node instanceof Neuron) { $node->reset(); } } } return $this; } }
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