What are some best practices for saving and loading a trained artificial neural network in PHP for future evaluations?

When working with trained artificial neural networks in PHP, it is important to save the model after training so that it can be loaded and used for future evaluations without having to retrain it each time. One common approach is to serialize the trained model and save it to a file, then load the serialized model from the file when needed for evaluation. 

// Save trained model to a file
$model = serialize($trainedModel);
file_put_contents('trained_model.dat', $model);

// Load trained model from file for future evaluations
$model = file_get_contents('trained_model.dat');
$trainedModel = unserialize($model);

// Use the trained model for evaluation
$result = $trainedModel->evaluate($inputData);

Keywords

serialization deserialization PHP neural network library file handling model persistence

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