Landscape Ecological Planning of Urban Green Space System Based on Deep Learning

Inhalt:
With the process of urbanization in the latter half, the construction of high-quality living environment has attracted more and more attention. Under this background, urban greenway has also been paid attention as an effective way to improve the quality of space. How to carry out landscape ecological planning for urban green space system has become one of the most important topics in this field. With the continuous development and popularization of big data technology and artificial intelligence technology, deep learning, as an important tool, is mainly used for the accurate extraction of relevant feature data, and is widely used in work and life. This paper analyses the objective, content, and process of landscape ecological planning of urban green space system, and designs a deep learning system to provide reference for relevant researchers.