Research on Digital Media Art Innovation Model Based on Convolutional Neural Security Network
Year: 2024
Type: article
Abstract: As a professional system that intersects technology, humanities, and art, digital media art occupies an important position in the art category. With the continuous advancement of information technology, the opportunities and challenges faced by digital media art education have not only brought about changes in digital media art education, but also have a certain impact on the ecological relationship of art design. This paper takes public art as the starting point, analyzes the practical cases related to digital media art at home and abroad, sorts out and summarizes the current digital media art teaching status, based on the method of convolutional neural network, further explores the suitable digital media from the perspective of education and teaching mode Innovative methods for the art profession.
Source: Computer Fraud & Security
DOI: 10.52710/cfs.125
Author: Dan Wang
Institution: Nanning College of Technology
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4407001588