Rattray, M. and Saad, D. (1999). Analysis of natural gradient descent for multilayer neural networks. Physical Review E, 59 (4), pp. 4523-4532.
Abstract
Natural gradient descent (NGD) is an on-line algorithm for redefining the steepest descent direction. An analysis of NGD for training a multilayer neural network is presented using statistical mechanics. The performance can be significantly improved using NGD algorithm and can be used for both the transient and asymptotic stages of learning.
| Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) |
|---|---|
| Additional Information: | ©1999 The American Physical Society |
| Publication ISSN: | 1550-2376 |
| Last Modified: | 21 Feb 2024 08:07 |
| Date Deposited: | 01 Apr 2019 11:59 |
| Full Text Link: | |
| Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) https://journal ... hysRevE.59.4523 (Publisher URL) |
PURE Output Type: | Article |
| Published Date: | 1999-04-01 |
| Authors: |
Rattray, M.
Saad, D. ( 
0000-0001-9821-2623)
|
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)