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On the Computational Complexity of Deep Learning Algorithms. / Baskakov, Dmitry; Arseniev, Dmitry .

Proceedings of International Scientific Conference on Telecommunications, Computing and Control: TELECCON 2019. ed. / Nikita Voinov; Tobias Schreck; Sanowar Khan. Springer Nature, 2021. p. 343-356 (Smart Innovation, Systems and Technologies; Vol. 220).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Baskakov, D & Arseniev, D 2021, On the Computational Complexity of Deep Learning Algorithms. in N Voinov, T Schreck & S Khan (eds), Proceedings of International Scientific Conference on Telecommunications, Computing and Control: TELECCON 2019. Smart Innovation, Systems and Technologies, vol. 220, Springer Nature, pp. 343-356, 1st International Scientific Conference on Telecommunications, Computing and Control, TELECCON 2019, St. Petersburg, Russian Federation, 18/11/19. https://doi.org/10.1007/978-981-33-6632-9_30

APA

Baskakov, D., & Arseniev, D. (2021). On the Computational Complexity of Deep Learning Algorithms. In N. Voinov, T. Schreck, & S. Khan (Eds.), Proceedings of International Scientific Conference on Telecommunications, Computing and Control: TELECCON 2019 (pp. 343-356). (Smart Innovation, Systems and Technologies; Vol. 220). Springer Nature. https://doi.org/10.1007/978-981-33-6632-9_30

Vancouver

Baskakov D, Arseniev D. On the Computational Complexity of Deep Learning Algorithms. In Voinov N, Schreck T, Khan S, editors, Proceedings of International Scientific Conference on Telecommunications, Computing and Control: TELECCON 2019. Springer Nature. 2021. p. 343-356. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-981-33-6632-9_30

Author

Baskakov, Dmitry ; Arseniev, Dmitry . / On the Computational Complexity of Deep Learning Algorithms. Proceedings of International Scientific Conference on Telecommunications, Computing and Control: TELECCON 2019. editor / Nikita Voinov ; Tobias Schreck ; Sanowar Khan. Springer Nature, 2021. pp. 343-356 (Smart Innovation, Systems and Technologies).

BibTeX

@inproceedings{be114b1c7534463dbcf1600d22510bb0,
title = "On the Computational Complexity of Deep Learning Algorithms",
abstract = "The paper analyzes current research and the state of the industry to assess the complexity of machine learning algorithms. The tasks of deep learning are associated with an extremely high degree of computational complexity, which requires the use, first of all, of new algorithmic methods and an understanding of the assessment of the complexity of the calculations. This area of research is not given due attention for various reasons, but primarily because of the novelty of this paradigm, as well as the use of other advanced methods, which is briefly analyzed in this paper.",
keywords = "Artificial intelligence, Fine-Grained reduction, Machine learning, Optimization",
author = "Dmitry Baskakov and Dmitry Arseniev",
note = "Baskakov D., Arseniev D. (2021) On the Computational Complexity of Deep Learning Algorithms. In: Voinov N., Schreck T., Khan S. (eds) Proceedings of International Scientific Conference on Telecommunications, Computing and Control. Smart Innovation, Systems and Technologies, vol 220. Springer, Singapore. https://proxy.library.spbu.ru:2060/10.1007/978-981-33-6632-9_30; 1st International Scientific Conference on Telecommunications, Computing and Control, TELECCON 2019 ; Conference date: 18-11-2019 Through 19-11-2019",
year = "2021",
doi = "10.1007/978-981-33-6632-9_30",
language = "English",
isbn = "9789813366312",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Nature",
pages = "343--356",
editor = "Nikita Voinov and Tobias Schreck and Sanowar Khan",
booktitle = "Proceedings of International Scientific Conference on Telecommunications, Computing and Control",
address = "Germany",

}

RIS

TY - GEN

T1 - On the Computational Complexity of Deep Learning Algorithms

AU - Baskakov, Dmitry

AU - Arseniev, Dmitry

N1 - Baskakov D., Arseniev D. (2021) On the Computational Complexity of Deep Learning Algorithms. In: Voinov N., Schreck T., Khan S. (eds) Proceedings of International Scientific Conference on Telecommunications, Computing and Control. Smart Innovation, Systems and Technologies, vol 220. Springer, Singapore. https://proxy.library.spbu.ru:2060/10.1007/978-981-33-6632-9_30

PY - 2021

Y1 - 2021

N2 - The paper analyzes current research and the state of the industry to assess the complexity of machine learning algorithms. The tasks of deep learning are associated with an extremely high degree of computational complexity, which requires the use, first of all, of new algorithmic methods and an understanding of the assessment of the complexity of the calculations. This area of research is not given due attention for various reasons, but primarily because of the novelty of this paradigm, as well as the use of other advanced methods, which is briefly analyzed in this paper.

AB - The paper analyzes current research and the state of the industry to assess the complexity of machine learning algorithms. The tasks of deep learning are associated with an extremely high degree of computational complexity, which requires the use, first of all, of new algorithmic methods and an understanding of the assessment of the complexity of the calculations. This area of research is not given due attention for various reasons, but primarily because of the novelty of this paradigm, as well as the use of other advanced methods, which is briefly analyzed in this paper.

KW - Artificial intelligence

KW - Fine-Grained reduction

KW - Machine learning

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=85105855419&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/f8075ebe-a946-35c0-8e0f-cdf3d94747f3/

U2 - 10.1007/978-981-33-6632-9_30

DO - 10.1007/978-981-33-6632-9_30

M3 - Conference contribution

AN - SCOPUS:85105855419

SN - 9789813366312

T3 - Smart Innovation, Systems and Technologies

SP - 343

EP - 356

BT - Proceedings of International Scientific Conference on Telecommunications, Computing and Control

A2 - Voinov, Nikita

A2 - Schreck, Tobias

A2 - Khan, Sanowar

PB - Springer Nature

T2 - 1st International Scientific Conference on Telecommunications, Computing and Control, TELECCON 2019

Y2 - 18 November 2019 through 19 November 2019

ER -

ID: 86501892