Improving deep neural networks for LVCSR using dropout and shrinking structure
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سال
: 2014شناسه الکترونیک: 10.1109/IPDPSW.2014.184
کلیدواژه(گان): Instruction sets,Java,Materials,Parallel processing,Programming,CS education,CS1,Parallelism,curriculum
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Improving deep neural networks for LVCSR using dropout and shrinking structure
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date accessioned | 2020-03-12T20:10:17Z | |
date available | 2020-03-12T20:10:17Z | |
date issued | 2014 | |
identifier other | 6854927.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1004539 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Improving deep neural networks for LVCSR using dropout and shrinking structure | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8125894 | |
subject keywords | Instruction sets | |
subject keywords | Java | |
subject keywords | Materials | |
subject keywords | Parallel processing | |
subject keywords | Programming | |
subject keywords | CS education | |
subject keywords | CS1 | |
subject keywords | Parallelism | |
subject keywords | curriculum | |
identifier doi | 10.1109/IPDPSW.2014.184 | |
journal title | coustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on | |
filesize | 413790 | |
citations | 0 | |
contributor rawauthor | Shiliang Zhang , Yebo Bao , Pan Zhou , Hui Jiang , Lirong Dai |