Talk
in
Workshop: Deep Learning: Bridging Theory and Practice

Spotlights 1

2017 Talk
in
Workshop: Deep Learning: Bridging Theory and Practice

Abstract

1) Generalization in deep nets: the role of distance from initialization 2) Entropy-SG(L)D optimizes the prior of a (valid) PAC-Bayes bound 3) Large Batch Training of DNNs with Layer-wise Adaptive Rate Scaling

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