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Which of the following strategies are commonly used to diagnose overfitting in neural networks? Options: 1 ) Evaluating the model's performance with different subsets of
Which of the following strategies are commonly used to diagnose overfitting in neural networks?
Options:
Evaluating the model's performance with different subsets of features.
Visualizing the learning curves for training and validation losses.
Monitoring the model's performance on both training and validation datasets.
Checking if the training loss is significantly lower than the validation loss.
Increasing the complexity of the model to match the training error.
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