Time delay neural network
id:
time-delay-neural-network-203-17013179
title:
Time delay neural network
text:
Time delay neural network (TDNN) is a multilayer artificial neural network architecture whose purpose is to 1) classify patterns with shift-invariance, and 2) model context at each layer of the network. Shift-invariant classification means that the classifier does not require explicit segmentation prior to classification. For the classification of a temporal pattern, the TDNN thus avoids having to determine the beginning and end points of sounds before classifying them. For contextual modelling
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Time_delay_neural_network
date created:
2009-07-13T17:53:15Z
date modified:
2024-09-09T21:06:48Z
main entity:
{"identifier":"Q2434543","url":"https://www.wikidata.org/entity/Q2434543"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/3/3b/TDNN_Diagram.png","width":384,"height":644}
fields total:
13
integrity:
15