Publication Details
Semi-supervised Training of Deep Neural Networks
VESELÝ Karel, HANNEMANN Mirko and BURGET Lukáš. Semi-supervised Training of Deep Neural Networks. In: Proceedings of ASRU 2013. Olomouc: IEEE Signal Processing Society, 2013, pp. 267-272. ISBN 978-1-4799-2755-5.
Czech title
Částečně kontrolované trénování hlubokých neuronových sítí
Type
conference paper
Language
english
Authors
Veselý Karel, Ing., Ph.D. (DCGM FIT BUT)
Hannemann Mirko, Dipl.-Ing. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Hannemann Mirko, Dipl.-Ing. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords
semi-supervised training, self-training, deep network, DNN, Babel program
Abstract
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.
Published
2013
Pages
267-272
Proceedings
Proceedings of ASRU 2013
Conference
IEEE 2013 Workshop on Automatic Speech Recognition and Understanding, Olomouc, CZ
ISBN
978-1-4799-2755-5
Publisher
IEEE Signal Processing Society
Place
Olomouc, CZ
BibTeX
@INPROCEEDINGS{FITPUB10509, author = "Karel Vesel\'{y} and Mirko Hannemann and Luk\'{a}\v{s} Burget", title = "Semi-supervised Training of Deep Neural Networks", pages = "267--272", booktitle = "Proceedings of ASRU 2013", year = 2013, location = "Olomouc, CZ", publisher = "IEEE Signal Processing Society", ISBN = "978-1-4799-2755-5", language = "english", url = "https://www.fit.vut.cz/research/publication/10509" }