Convolutional Neural Networks: The Power Behind Image Recognition
Küçük Resim Yok
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
CRC Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A number of artificial intelligence advancements have emerged that allow computerizes the same critical thinking tasks that were solely more suited to humans such as image recognition of objects etc. One such advancement that is the focus of the paper is the Convolutional Neural Networks. This paper details the structural design, how they perform the tasks assigned and how they function as a contribution to the image recognition area. Additionally, we show through a case study of three CNN models how they can be evaluated in relation to one set of common data effectively and efficiently. The data shows that there was improvement in processing time and accuracy which emphasises the role of CNN in the detailed domains. Some future trends in the CNN development and its usages are presented. © 2025 Laith Abualigah.
Açıklama
Anahtar Kelimeler
Convolution, Convolutional Neural Networks, Data Accuracy, Structural Design, Case-Studies, Cnn Models, Convolutional Neural Network, Critical Thinking, Future Trends, Power, Processing Accuracies, Processing Time, Recognition Of Objects, Show Through, Image Recognition
Kaynak
A to Z of Deep Learning and AI
WoS Q Değeri
Scopus Q Değeri
N/A
