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Search results with tag "Generalization error"

Understanding deep learning requires rethinking …

Understanding deep learning requires rethinking …

arxiv.org

stability of a learning algorithm is independent of the labeling of the training data. Hence, the concept is not strong enough to distinguish between the models trained on the true labels (small generalization error) and models trained on random labels (high generalization error). This also

  Understanding, Learning, Deep, Errors, Generalization, Understanding deep learning, Generalization error

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