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METHOD OF CREATING CUSTOM DATASET TO TRAIN CONVOLUTIONAL NEURAL NETWORK

The task of creating and developing custom datasets for training convolutional neural networks (CNNs) is essential due to the increasing adoption of deep learning across industries. CNNs have become fundamental tools for various applications, including computer vision, natural language processing,...

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Principais autores: Tymur ISAIEV, Tetiana KYSIL
Format: Artigo
Sprog:Inglês
Udgivet: Khmelnytskyi National University 2024-12-01
Serier:Компютерні системи та інформаційні технології
Fag:
CNN
dataset
neural network
Roboflow
data preprocessing
data augmentation
Online adgang:https://csitjournal.khmnu.edu.ua/index.php/csit/article/view/343
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