Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Abstract In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex...

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Bibliographic Details
Main Authors: Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Journal of Big Data
Subjects:
Deep learning
Machine learning
Convolution neural network (CNN)
Deep neural network architectures
Deep learning applications
Image classification
Online Access:https://doi.org/10.1186/s40537-021-00444-8

Internet

https://doi.org/10.1186/s40537-021-00444-8

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