Accession Number:

ADA247474

Title:

Self-Supervision in Multilayer Adaptive Networks

Descriptive Note:

Memorandum rept.

Corporate Author:

ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (UNITED KINGDOM)

Personal Author(s):

• Luttrell, S. P.

Report Date:

1991-12-01

Pagination or Media Count:

36.0

Abstract:

We theoretically derive and numerically simulate a new phenomenon called self-supervision, in which the higher layers of a multilayer unsupervised network control the optimisation of the lower layers, even when there is no external supervising teacher present. Self-supervision is a very convenient hybrid, which combines the best properties of unsupervised and supervised network training algorithms.

Descriptors:

• *NETWORKS
• CONTROL
• TRAINING
• SUPERVISION
• LAYERS
• EXTERNAL
• INSTRUCTORS
• ALGORITHMS

Subject Categories:

• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE