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Application of Unsupervised Deep Learning in Road Image Recognition

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DOI: 10.38007/Proceedings.0000409

Author(s)

Jingwei Xie

Corresponding Author

Jingwei Xie

Abstract

Deep learning is to use deep neural network to simulate human brain, analyze and calculate data. Unsupervised learning algorithms based on deep trust network is also known as unsupervised deep algorithms, which have good application effects in the field of image recognition. This paper discusses the application of unsupervised deep learning in road image recognition, and summarizes the application status, application problems and development prospects to promote the development of road image recognition under the background of artificial intelligence.

Keywords

Unsupervised deep learning; Road image recognition; Application analysis