30 September 2019 to 4 October 2019
Montenegro, Budva, Becici
Europe/Podgorica timezone

Structural approach to the deep learning method

3 Oct 2019, 09:00
15m
Splendid Conference & SPA Resort, Conference Hall Petroviċa

Splendid Conference & SPA Resort, Conference Hall Petroviċa

Sectional Machine Learning Algorithms and Big Data Analytics Machine Learning Algorithms and Big Data Analytics

Speaker

Dr Dmitry Kulyabov (PFUR & JINR)

Description

When considering any method customary to distinguish several structural levels: syntax, semantics, pragmatics. Syntax gives the ability to apply the method in question, semantics helps set tasks, and pragmatics answers the questions: what is the essence method, what is the place of the method among other methods. In this paper, the authors apply this approach to the consideration of thedeep learning. Considers the syntax: how can practically use this method. Semantics: what are the approaches exist under this method, how do these approaches relate to solvable problems. Pragmatics: the genesis of this method is examined, reasons for its popularity, possible applications of this method, its restrictions. As a result, the authors conclude about the prospects for the use of the deep learning method for a number of practical problems.

Primary author

Dr Dmitry Kulyabov (PFUR & JINR)

Co-authors

Anna Korolkova (Peoples' Friendship University of Russia) Prof. Leonid Sevastyanov (PFUR)

Presentation materials