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.
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.
|Organisations:||Electronics & Computer Science|
|Date Deposited:||24 Aug 2004|
|Last Modified:||17 Apr 2017 22:23|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)