A study on the prediction of development strategies of art education in universities based on deep learning model

Pubblicato online: 30 ott 2023

Ricevuto: 03 gen 2023

Accettato: 10 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.00858

Parole chiave

Deep learning model, Painting images, Contextual encoder, Image restoration network, Performance prediction

© 2023 Xiaohong Zhu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.