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Real time output derivatives for on chip learning using digital stochastic bit stream neurons

Daalen, M., Zhao, J. and Shawe-Taylor, J. (1993) Real time output derivatives for on chip learning using digital stochastic bit stream neurons Electronics Letters, 30, (21), pp. 1775-1777.

Record type: Article

Abstract

In this paper we present the hardware design of an extremely compact and novel digital stochastic neuron, that has the ability to generate the derivative of its output with respect to an arbitrary input. These derivatives may be used to form the basis of an on chip gradient descent learning algorithm.

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More information

Published date: December 1993
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 259816
URI: http://eprints.soton.ac.uk/id/eprint/259816
ISSN: 0013-5194
PURE UUID: 88a6d160-0ad9-4db4-8051-91928c193662

Catalogue record

Date deposited: 24 Aug 2004
Last modified: 18 Jul 2017 09:19

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Contributors

Author: M. Daalen
Author: J. Zhao
Author: J. Shawe-Taylor

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