Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

Abstract Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible. Highly effective DL techniques help to find more hidden knowledge. Deep learning has a p...

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Podrobná bibliografie
Hlavní autoři: Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, Mahdieh Moazzamigodarzi, Yang Liu, Pijush Kanti Dutta Pramanik, Mohammad Ali Heravi, Abolfazl Mehbodniya, Mustafa Ghaderzadeh, Mohammad Reza Feylizadeh, Saeed Kosari
Médium: Článek
Jazyk:English
Vydáno: Wiley 2023-09-01
Edice:CAAI Transactions on Intelligence Technology
Témata:
data mining
data privacy
deep learning
On-line přístup:https://doi.org/10.1049/cit2.12180

Internet

https://doi.org/10.1049/cit2.12180

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