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. Electronic Letters, 30, (21), 1775-1777.
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Description/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.
| Item Type: | Article |
|---|---|
| ISSNs: | 0013-5194 |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 259816 |
| Date Deposited: | 24 Aug 2004 |
| Last Modified: | 02 Mar 2012 13:20 |
| Contributors: | Daalen, M. (Author) Zhao, J. (Author) Shawe-Taylor, J. (Author) |
| Date: | December 1993 |
| Status: | Published |
| Publisher: | Elsevier B.V. |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/259816 |
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