Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks

International Conference on Machine Learning, pp. 322-332, 2019.

Cited by: 320|Views151
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Abstract:

Recent works have cast some light on the mystery of why deep nets fit any data and generalize despite being very overparametrized. This paper analyzes training and generalization for a simple 2-layer ReLU net with random initialization, and provides the following improvements over recent works: (i) Using a tighter characterization of trai...More

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