Publication result detail

Semi-supervised Training of Deep Neural Networks

VESELÝ, K.; HANNEMANN, M.; BURGET, L.

Original Title

Semi-supervised Training of Deep Neural Networks

English Title

Semi-supervised Training of Deep Neural Networks

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

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

English abstract

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

Keywords

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

Key words in English

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

Authors

VESELÝ, K.; HANNEMANN, M.; BURGET, L.

RIV year

2014

Released

08.12.2013

Publisher

IEEE Signal Processing Society

Location

Olomouc

ISBN

978-1-4799-2755-5

Book

Proceedings of ASRU 2013

Pages from

267

Pages to

272

Pages count

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"
}