Barber, David, Saad, David and Sollich, Peter (1996). Finite-size effects in on-line learning of multilayer neural networks. Europhysics Letters, 34 (2), pp. 151-156.
Abstract
We complement recent advances in thermodynamic limit analyses of mean on-line gradient descent learning dynamics in multi-layer networks by calculating fluctuations possessed by finite dimensional systems. Fluctuations from the mean dynamics are largest at the onset of specialisation as student hidden unit weight vectors begin to imitate specific teacher vectors, increasing with the degree of symmetry of the initial conditions. In light of this, we include a term to stimulate asymmetry in the learning process, which typically also leads to a significant decrease in training time.
Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) |
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Additional Information: | Copyright of EDP Sciences |
Uncontrolled Keywords: | probability theory,stochastic processes,and statistics |
Publication ISSN: | 1286-4854 |
Last Modified: | 06 Aug 2024 07:02 |
Date Deposited: | 08 Jul 2009 12:14 |
Full Text Link: | |
Related URLs: |
http://iopscien ... ect=.iopscience
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 1996-04 |
Authors: |
Barber, David
Saad, David ( ![]() Sollich, Peter |