Is it possible to use a validation dataset to prevent overfitting during training?

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Réponse

Yes, you can provide a validation dataset using the 'validTable' parameter. This allows for early stopping of the training process, which can be configured through the 'validate' subparameter of the 'nloOpts' option, based on the model's performance on this validation data.
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annTrain

neuralNet

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Other questions about annTrain
Which optimization algorithms are available for training the network? How does the annTrain action handle missing values in the training data? What activation functions can be used for the hidden and target layers? What types of network architectures can be trained using the annTrain action? How can I define the structure of the hidden layers in my neural network?
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