Understanding the Loss Surface of Neural Networks for Binary Classification

ICML 2018 Shiyu LiangRuoyu SunYixuan LiR. Srikant

It is widely conjectured that the reason that training algorithms for neural networks are successful because all local minima lead to similar performance, for example, see (LeCun et al., 2015, Choromanska et al., 2015, Dauphin et al., 2014). Performance is typically measured in terms of two metrics: training performance and generalization performance... (read more)

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