Standard
Challenges in deep learning. /
Angelov, Plamen; Sperduti, Alessandro.
ESANN 2016 - 24th European Symposium on Artificial Neural Networks. i6doc.com publication, 2016. p. 489-496 (ESANN 2016 - 24th European Symposium on Artificial Neural Networks).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Angelov, P & Sperduti, A 2016,
Challenges in deep learning. in
ESANN 2016 - 24th European Symposium on Artificial Neural Networks. ESANN 2016 - 24th European Symposium on Artificial Neural Networks, i6doc.com publication, pp. 489-496, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016, Bruges, Belgium,
27/04/16.
APA
Angelov, P., & Sperduti, A. (2016).
Challenges in deep learning. In
ESANN 2016 - 24th European Symposium on Artificial Neural Networks (pp. 489-496). (ESANN 2016 - 24th European Symposium on Artificial Neural Networks). i6doc.com publication.
Vancouver
Angelov P, Sperduti A.
Challenges in deep learning. In ESANN 2016 - 24th European Symposium on Artificial Neural Networks. i6doc.com publication. 2016. p. 489-496. (ESANN 2016 - 24th European Symposium on Artificial Neural Networks).
Author
Angelov, Plamen ; Sperduti, Alessandro. /
Challenges in deep learning. ESANN 2016 - 24th European Symposium on Artificial Neural Networks. i6doc.com publication, 2016. pp. 489-496 (ESANN 2016 - 24th European Symposium on Artificial Neural Networks).
Bibtex
@inproceedings{26de507a85ae46d0b1752656bc6e03af,
title = "Challenges in deep learning",
abstract = "In recent years, Deep Learning methods and architectures have reached impressive results, allowing quantum-leap improvements in performance in many difficult tasks, such as speech recognition, end-to-end machine translation, image classification/understanding, just to name a few. After a brief introduction to some of the main achievements of Deep Learning, we discuss what we think are the general challenges that should be addressed in the future. We close with a review of the contributions to the ESANN 2016 special session on Deep Learning.",
author = "Plamen Angelov and Alessandro Sperduti",
year = "2016",
month = apr,
day = "27",
language = "English",
series = "ESANN 2016 - 24th European Symposium on Artificial Neural Networks",
publisher = "i6doc.com publication",
pages = "489--496",
booktitle = "ESANN 2016 - 24th European Symposium on Artificial Neural Networks",
note = "24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016 ; Conference date: 27-04-2016 Through 29-04-2016",
}
RIS
TY - GEN
T1 - Challenges in deep learning
AU - Angelov, Plamen
AU - Sperduti, Alessandro
PY - 2016/4/27
Y1 - 2016/4/27
N2 - In recent years, Deep Learning methods and architectures have reached impressive results, allowing quantum-leap improvements in performance in many difficult tasks, such as speech recognition, end-to-end machine translation, image classification/understanding, just to name a few. After a brief introduction to some of the main achievements of Deep Learning, we discuss what we think are the general challenges that should be addressed in the future. We close with a review of the contributions to the ESANN 2016 special session on Deep Learning.
AB - In recent years, Deep Learning methods and architectures have reached impressive results, allowing quantum-leap improvements in performance in many difficult tasks, such as speech recognition, end-to-end machine translation, image classification/understanding, just to name a few. After a brief introduction to some of the main achievements of Deep Learning, we discuss what we think are the general challenges that should be addressed in the future. We close with a review of the contributions to the ESANN 2016 special session on Deep Learning.
M3 - Conference contribution/Paper
AN - SCOPUS:84994071273
T3 - ESANN 2016 - 24th European Symposium on Artificial Neural Networks
SP - 489
EP - 496
BT - ESANN 2016 - 24th European Symposium on Artificial Neural Networks
PB - i6doc.com publication
T2 - 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2016
Y2 - 27 April 2016 through 29 April 2016
ER -
