A Proposal on Machine Learning via Dynamical Systems

被引：345
|
作者：
Weinan, E. [1 ,2 ,3 ,4 ,5 ]
机构：
[1] BIBDR, Beijing, Peoples R China
[2] Princeton Univ, Dept Math, Princeton, NJ 08544 USA
[3] Princeton Univ, PACM, Princeton, NJ 08544 USA
[4] Peking Univ, Ctr Data Sci, Beijing, Peoples R China
[5] Peking Univ, BICMR, Beijing, Peoples R China
来源：
COMMUNICATIONS IN MATHEMATICS AND STATISTICS | 2017年 / 5卷 / 01期
关键词：
Deep learning; Machine learning; Dynamical systems;
D O I：
10.1007/s40304-017-0103-z
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We discuss the idea of using continuous dynamical systems to model general high-dimensional nonlinear functions used in machine learning. We also discuss the connection with deep learning.
引用
收藏
页码：1 / 11
页数：11
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