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Исследование глубокого обучения на основе Ð¿Ñ€Ð¾Ð¿Ð¾Ñ€Ñ†Ð¸Ð¾Ð½Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¼Ð°Ñ€ÐºÐ¸Ñ€Ð¾Ð²Ð¾Ðº (DEEP LLP)

выпускная квалификационная работа бакалавра
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2018 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v18-1355

Исследование глубокого обучения на основе Ð¿Ñ€Ð¾Ð¿Ð¾Ñ€Ñ†Ð¸Ð¾Ð½Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¼Ð°Ñ€ÐºÐ¸Ñ€Ð¾Ð²Ð¾Ðº (DEEP LLP)

Abstract

Ð’ данной работе производится исследование алгоритмов обучения на основе Ð¿Ñ€Ð¾Ð¿Ð¾Ñ€Ñ†Ð¸Ð¾Ð½Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¼Ð°Ñ€ÐºÐ¸Ñ€Ð¾Ð²Ð¾Ðº и совместного обучения, причин Ð¸Ñ Ð¿Ð¾ÑÐ²Ð»ÐµÐ½Ð¸Ñ, способов реализации и улучшения. Подробно рассматривается метод глубокого обучения на основе Ð¿Ñ€Ð¾Ð¿Ð¾Ñ€Ñ†Ð¸Ð¾Ð½Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¼Ð°Ñ€ÐºÐ¸Ñ€Ð¾Ð²Ð¾Ðº. Разработаны программы для сбора Ð´Ð°Ð½Ð½Ñ‹Ñ ÑÐ¾Ñ†Ð¸Ð°Ð»ÑŒÐ½Ñ‹Ñ ÑÐµÑ‚ÐµÐ¹ Twitter и Github, приложение подготовки изображений, а также каркас модели совместного обучения.

Keywords

глубокое обучение, классификация текста, нейронные сети, классификация изображений, совместное обучение

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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