An Introduction to Variational Autoencoders

被引：1279
|
作者：
Kingma, Diederik P. [1 ]
Welling, Max [2 ,3 ]
机构：
[1] Google, Mountain View, CA 94043 USA
[2] Univ Amsterdam, Amsterdam, Netherlands
[3] Qualcomm, San Diego, CA USA
来源：
FOUNDATIONS AND TRENDS IN MACHINE LEARNING | 2019年 / 12卷 / 04期
关键词：
GRADIENT; LIKELIHOOD; ALGORITHMS; MODELS;
D O I：
10.1561/2200000056
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Variational autoencoders provide a principled framework for learning deep latent-variable models and corresponding inference models. In this work, we provide an introduction to variational autoencoders and some important extensions.
引用
收藏
页码：4 / 89
页数：86
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