Research on Sustainable Landscape Design and Public Environmental Perception of Modern Communities Based on Deep Learning Nonlinear Data

Abstract

In order to study the impact of modern community sustainable landscape design under deep learning nonlinear data and its role in public environmental perception, this paper discusses the traditional landscape design concept and the modern community sustainable landscape design concept under deep learning nonlinear data, and compares and analyzes the relevant elements, the functional performance of landscape architecture and the comprehensive effect through statistical methods. The results are statistically significant. Through analysis and verification, modern community sustainable landscape design based on deep learning nonlinear data can better promote the integration of landscape, humanities and environment, improve the quality of community environment, so as to improve the physical and mental health of the public and meet the public’s needs for the environment.