IMPACT OF IMAGE PRE-PROCESSING ON QUALITY OF TRAINING NEURAL NETWORK FOR RECOGNITION
The article offers a view on the methods for developing, and the stages of pro-processing images for training sampling in neural networks, as well as their impact on the quality of training.
Saved in:
| Main Authors: | Nikita A. Lagunov, Oksana S. Mezentseva |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
North Caucasus Federal University
2022-05-01
|
| Series: | Вестник Северо-Кавказского федерального университета |
| Subjects: | |
| Online Access: | https://vestnikskfu.elpub.ru/jour/article/view/1175 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ANALYSIS AND EXPERIMENTAL RESEARCH OF DEPENDENCE BETWEEN NEURAL NETWORKS TRAINING AND TRAINING PARAMETERS SELECTION
by: Nikita Alekseyevich Lagunov, et al.
Published: (2022-05-01) -
МЕТОД ЭКСТРАПОЛИРУЮЩЕГО ОБУЧЕНИЯ НЕЙРОННЫХ СЕТЕЙ
Published: (2019-03-01) -
THE NEURAL NETWORK MODEL FOR MULTIPARAMETER OBJECTS RECOGNITION
by: Oksana Stanislavovna Mezentseva, et al.
Published: (2022-10-01) -
Программный комплекс для анализа текстов на изображениях и их преобразования в документ на основе машинного обучения
by: Д. Пардаев, et al.
Published: (2025-05-01) -
VIRTUAL TRAJECTORY MODELING
by: A. A. Dyatko, et al.
Published: (2019-06-01)