SELF-SUPERVISED ADAPTIVE NETWORKS

被引：9

作者：

LUTTRELL, SP

机构：

来源：

IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING | 1992年 / 139卷 / 06期

关键词：

SELF-SUPERVISED ADAPTIVE NETWORKS; TRAINING;

D O I：

10.1049/ip-f-2.1992.0053

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

A scheme for training multilayer unsupervised networks is presented, in which control signals propagate downwards from the higher layers to influence the optimisation of the lower layers. Because there is no external teacher involved, this is called self-supervised training. The author demonstrates both theoretically and numerically how self-supervision emerges when a simple network built out of vector quantisers is optimised.

引用

页码：371 / 377

页数：7

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