Deep Learning Technology using New Media on Traditional Arts and Crafts of Complex Forms

Abstract

In the age of Computer technology, new media art Technology has grown rapidly. The technology comprises virtual art, animation, digital art, computer graphics, 3D Art, sound art, video games, robotics, internet art, 3Dpaintings, and 3D printing. The new media art Technology creates a lot of new jobs and also major universities offer courses and graduate programs in this field. The new media art Technology will not affect the traditional arts as critics say. Today there is a need for new media art. Everything has been digitalized by every business the digital media platforms social media video sharing video other internet Technologies for marketing. Digital marketing has replaced marketing techniques to a great extent. In this research article, we are going to study how the new media and deep learning Technology influences traditional arts and crafts in complex forms. For example, ceramic arts and potteries are traditional arts and crafts in complex forms. Ceramic arts and crafts and pottery are popular cultures and heritage symbols in many civilizations. This form of art for handmade traditionally involves a lot of painstaking effort in manufacturing. In this study, we are going to see how the new media art Technology is going to help in creating complex art forms with ease. The new media art Technology makes use of 3D printing technology to carry out this task. Deep learning is referred to as a type of machine learning Technology that uses artificial neural networks layers processing. Thus we found various advantages of new media art in the manufacturing of complex art forms like ceramic art pottery etc. In this research Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) Algorithm is executed to analyze the presentation of the traditional arts and crafts learning with the aid of new media technology.