Abstract
Deep learning can effectively learn the characteristics of data, which is of great significance to the development of artificial intelligence. This article first outlines the development of deep learning, then describes four typical deep learning algorithms, and then presents the progress of the current deep learning in the optimization of learning algorithms After a review, it finally discusses the advantages and disadvantages of deep learning in data analysis, model building, and algorithm optimization, as well as the problems that need to be further studied and resolved.
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