• Corpus ID: 53250107

# A Convergence Theory for Deep Learning via Over-Parameterization

@article{AllenZhu2019ACT,
title={A Convergence Theory for Deep Learning via Over-Parameterization},
author={Zeyuan Allen-Zhu and Yuanzhi Li and Zhao Song},
journal={ArXiv},
year={2019},
volume={abs/1811.03962}
}
• Published 1 September 2018
• Computer Science
• ArXiv
Deep neural networks (DNNs) have demonstrated dominating performance in many fields; since AlexNet, networks used in practice are going wider and deeper. [] Key Result In terms of network architectures, our theory at least applies to fully-connected neural networks, convolutional neural networks (CNN), and residual neural networks (ResNet).
895 Citations

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