Transients and asymptotics of natural gradient learning


We analyse natural gradient learning in a two-layer feed-forward neural network using a statistical mechanics framework which is appropriate for large input dimension. We find significant improvement over standard gradient descent in both the transient and asymptotic phases of learning.

Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: The original publication is available at
ISBN: 3540762639
Last Modified: 29 Nov 2023 13:43
Date Deposited: 22 Sep 2009 13:30
Full Text Link: 10.1007/978-1-4471-1599-1_21
Related URLs: https://link.sp ... -4471-1599-1_21 (Publisher URL)
PURE Output Type: Chapter
Published Date: 1998-09-01
Authors: Rattray, Magnus
Saad, David



Version: Accepted Version

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