Елецкий, Александр Юрьевич. Использование глубоких нейронных сетей для категоризации последовательностей действий: выпускная квалификационная работа магистра: направление 01.04.02 «Прикладная математика и информатика» ; образовательная программа 01.04.02_02 «Математические методы анализа и визуализации данных» = The use of deep neural networks to categorize sequences of actions / А. Ю. Елецкий; Санкт-Петербургский политехнический университет Петра Великого, Институт прикладной математики и механики ; научный руководитель С. Ю. Беляев ; консультант Л. А. Арефьева. — Санкт-Петербург, 2020. — 1 файл (1,5 Мб). — Загл. с титул. экрана. — Доступ по паролю из сети Интернет (чтение, печать, копирование). — Adobe Acrobat Reader 7.0. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/vr20-1873.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-1873-o.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-1873-r.pdf>. — <URL:http://elib.spbstu.ru/dl/3/2020/vr/rev/vr20-1873-a.pdf>. — DOI 10.18720/SPBPU/3/2020/vr/vr20-1873. — Текст
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Period
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Read
|
Print
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Copy
|
Open
|
Total
|
|
Year 2020
|
Quarter 3
|
September
|
1
|
0
|
0
|
0
|
1
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2021
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
1
|
0
|
1
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
1
|
0
|
2
|
0
|
3
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2022
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
2
|
0
|
0
|
0
|
2
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
2023
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
0
|
0
|
0
|
0
|
0
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
June
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 3
|
July
|
0
|
0
|
0
|
0
|
0
|
|
August
|
0
|
0
|
0
|
0
|
0
|
|
September
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 4
|
October
|
0
|
0
|
0
|
0
|
0
|
|
November
|
0
|
0
|
0
|
0
|
0
|
|
December
|
0
|
0
|
0
|
0
|
0
|
|
Year 2024
|
Quarter 1
|
January
|
0
|
0
|
0
|
0
|
0
|
|
February
|
1
|
0
|
0
|
0
|
1
|
|
March
|
0
|
0
|
0
|
0
|
0
|
|
Quarter 2
|
April
|
0
|
0
|
0
|
0
|
0
|
|
May
|
0
|
0
|
0
|
0
|
0
|
|
Total
|
5
|
0
|
3
|
0
|
8
|
