Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yaroslav Tarkan"'
Autor:
Vladimir Golubenko, Alexander Suvorov, Yury Gorbachev, Ryan Palmer, Artyom Tugaryov, Andrey Kashchikhin, Mikhail Fedorov, Alina Alborova, Yaroslav Tarkan, Marat Fatekhov, Galina Dedyukhina, Alexander Demidovskij, Igor Salnikov
Publikováno v:
ICTAI
Dramatic advances in the field of deep learning have led to superhuman results of neural models on various specialized tasks. There is an urgent need in platforms that provide performance tuning, analysis, and deployment capabilities of these models.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a830bda5bfdd6280a44611b83fd0ec5d
https://doi.org/10.1109/ictai50040.2020.00106
https://doi.org/10.1109/ictai50040.2020.00106
Autor:
Alexander Demidovskij, Yury Gorbachev, Mikhail Fedorov, Iliya Slavutin, Artyom Tugarev, Marat Fatekhov, Yaroslav Tarkan
Publikováno v:
ICCV Workshops
A task of maximizing deep learning neural networks performance is a challenging and actual goal of modern hardware and software development. Regardless the huge variety of optimization techniques and emerging dedicated hardware platforms, the process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6afd28372384aacb453253cae23c8a71
https://doi.org/10.1109/iccvw.2019.00104
https://doi.org/10.1109/iccvw.2019.00104
Autor:
Yaroslav Tarkan, Fedorov Mikhail, Alexander Suvorov, Alexander Demidovskij, Gorbachev Yury, Andrej Kashchikhin, Artyom Tugaryov
Publikováno v:
Journal of Physics: Conference Series. 1828:012012
Modern neural network methods make it possible to obtain qualitative results that open the colossal potential for integrating them into industrial applications. Therefore, there is a need for systems like the OpenVINO Deep Learning Workbench to analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d403d7da018a4e506ae470808bf383
https://doi.org/10.1088/1742-6596/1828/1/012012
https://doi.org/10.1088/1742-6596/1828/1/012012