Understanding deep learning is also a job for physicists

被引：47

作者：

Zdeborova, Lenka ^{[1
]}

机构：

[1] Univ Paris Saclay, Inst Phys Theor, CNRS, CEA, Gif Sur Yvette, France

来源：

NATURE PHYSICS | 2020年 / 16卷 / 06期

关键词：

STATISTICAL-MECHANICS; NEURAL-NETWORKS;

D O I：

10.1038/s41567-020-0929-2

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Automated learning from data by means of deep neural networks is finding use in an ever-increasing number of applications, yet key theoretical questions about how it works remain unanswered. A physics-based approach may help to bridge this gap.

引用

页码：602 / 604

页数：3

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