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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: 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
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Wiley 2023-09-01
Sarja:CAAI Transactions on Intelligence Technology
Aiheet:
data mining
data privacy
deep learning
Linkit:https://doi.org/10.1049/cit2.12180

Internet

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

Samankaltaisia teoksia