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Apr, 2021
理解生成对抗网络中的过度参数化
Understanding Overparameterization in Generative Adversarial Networks
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Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger...
TL;DR
本文关于GANS的理论与实证研究表明,过参数化的GAN模型具有更高质量和稳定性的生成语言表现,并能更快更稳定地收敛于非凸函数的全局鞍点。
Abstract
A broad class of
unsupervised deep learning
methods such as
generative adversarial networks
(
gans
) involve training of overparameterized m
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