Improving deep neural networks for LVCSR using dropout and shrinking structure
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: 2014DOI: 10.1109/IPDPSW.2014.184
Keyword(s): 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 | https://libsearch.um.ac.ir:443/fum/handle/fum/1004539?locale-attribute=en | |
| 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 |