如何评价ICLR2018 Submit的论文Rethinking generalization?

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这篇文章与 ICLR 2017 那篇 Rethinking Generalization 一脉相承。. 之前那篇的主要论点是. 1.目前的DNN很容易拟合数据,即使是加了噪声,甚至是纯噪声数据. 2.显性正则化对于改善泛化误差既不充分也不必要. 3.两层网络也能对付随机训练数据(有限样本). 4.SGD也是一种 ...


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