Detail publikace

Semi-supervised Training of Deep Neural Networks

VESELÝ, K. HANNEMANN, M. BURGET, L.

Originální název

Semi-supervised Training of Deep Neural Networks

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

Our quest in this paper is to search for an optimal dataselection strategy for the semi-supervised DNN training. We performed an analysis at all the three stages of DNN training.

Klíčová slova

semi-supervised training, self-training, deep network, DNN, Babel program

Autoři

VESELÝ, K.; HANNEMANN, M.; BURGET, L.

Rok RIV

2013

Vydáno

8. 12. 2013

Nakladatel

IEEE Signal Processing Society

Místo

Olomouc

ISBN

978-1-4799-2755-5

Kniha

Proceedings of ASRU 2013

Strany od

267

Strany do

272

Strany počet

6

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_asru2013_0000267.pdf

BibTex

@inproceedings{BUT105976,
  author="Karel {Veselý} and Mirko {Hannemann} and Lukáš {Burget}",
  title="Semi-supervised Training of Deep Neural Networks",
  booktitle="Proceedings of ASRU 2013",
  year="2013",
  pages="267--272",
  publisher="IEEE Signal Processing Society",
  address="Olomouc",
  isbn="978-1-4799-2755-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_asru2013_0000267.pdf"
}