Convolutional Neural Networks Progress: Architectural and Optimization Methods Survey

Since the start of the Convolutional Neural Networks (CNN) paradigm, they were applied in a wide range of computer vision tasks such as image classification, object detection, localization, tracking and action recognition where they were able to show breakthrough performance and generate a new state...

Szczegółowa specyfikacja

Opis bibliograficzny

1. autor:	Mohsen Abdel-Atty
Format:	Artigo
Język:	Árabe
Wydane:	Egyptian Society of Language Engineering (ESOLE) 2021-09-01
Seria:	The Egyptian Journal of Language Engineering
Hasła przedmiotowe:	machine learning(ML) deep neural networks(DNN), convolutional neural networks(CNN)
Dostęp online:	https://ejle.journals.ekb.eg/article_193213_1552d934e208a4055b1e9b7c80897048.pdf
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