Research on soft decoration matching and design elements in architectural interior design based on deep learning

With the development of the information society, the importance of data in the field of interior design is increasingly prominent. From collecting and analyzing design requirements, to understanding the behavior patterns of space users, to evaluating design effects, data support is indispensable. Machine learning, as a powerful tool, demonstrates enormous potential in interior design by learning and improving from data.This article explores the application of machine learning in interior design, especially in the research of soft decoration matching and design elements, and analyzes the changes and challenges it brings. This article focuses on exploring data-driven soft decoration matching and design practices. By analyzing residential space design cases, it demonstrates how machine learning can understand residents’ behavior patterns and preferences, predict design effects, optimize design decisions, and more.This article demonstrates the application of modern interior soft decoration, integrating traditional cultural elements into the soft decoration of modern living spaces through modern design techniques, achieving the integration of tradition and modernity, and meeting the aesthetic and spiritual needs of residents.