Compression Methods of Deep Learning Models Based on Student-Teacher Method
Збережено в:
Дата: | 2019 |
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Автори: | , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
2019
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Назва видання: | Control Systems and Computers |
Онлайн доступ: | http://jnas.nbuv.gov.ua/article/UJRN-0001009484 |
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Назва журналу: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
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Library portal of National Academy of Sciences of Ukraine | LibNASid |
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open-sciencenbuvgovua-190192024-02-26T22:02:31Z Compression Methods of Deep Learning Models Based on Student-Teacher Method I. V. Stetsenko Yu. S. Talko 2706-8145 2019 en Control Systems and Computers http://jnas.nbuv.gov.ua/article/UJRN-0001009484 Article |
institution |
Library portal of National Academy of Sciences of Ukraine | LibNAS |
collection |
Open-Science |
language |
English |
series |
Control Systems and Computers |
spellingShingle |
Control Systems and Computers I. V. Stetsenko Yu. S. Talko Compression Methods of Deep Learning Models Based on Student-Teacher Method |
format |
Article |
author |
I. V. Stetsenko Yu. S. Talko |
author_facet |
I. V. Stetsenko Yu. S. Talko |
author_sort |
I. V. Stetsenko |
title |
Compression Methods of Deep Learning Models Based on Student-Teacher Method |
title_short |
Compression Methods of Deep Learning Models Based on Student-Teacher Method |
title_full |
Compression Methods of Deep Learning Models Based on Student-Teacher Method |
title_fullStr |
Compression Methods of Deep Learning Models Based on Student-Teacher Method |
title_full_unstemmed |
Compression Methods of Deep Learning Models Based on Student-Teacher Method |
title_sort |
compression methods of deep learning models based on student-teacher method |
publishDate |
2019 |
url |
http://jnas.nbuv.gov.ua/article/UJRN-0001009484 |
work_keys_str_mv |
AT ivstetsenko compressionmethodsofdeeplearningmodelsbasedonstudentteachermethod AT yustalko compressionmethodsofdeeplearningmodelsbasedonstudentteachermethod |
first_indexed |
2024-03-30T07:38:20Z |
last_indexed |
2024-03-30T07:38:20Z |
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1796879253327839232 |