Generalization in Deep LearningEI

    Kenji Kawaguchi
    Kenji Kawaguchi
    Cited by: 58|Bibtex|36|

    arXiv: Machine Learning, Volume abs/1710.054682018,

    Abstract:

    Throughout this chapter, we provide theoretical insights into why and how deep learning can generalize well, despite its large capacity, complexity, possible algorithmic instability, nonrobustness, and sharp minima, responding to an open question in the literature. We also propose new open problems and discuss the limitations of our resul...More
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