Zhou, X., 2020. Application of deep learning in ocean big data mining. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 614–617. Coconut Creek (Florida), ISSN 0749-0208.
Deep learning is an in-depth study originating from artificial neural networks, which simulate the connection structure of human brain nerves by building models. Through deep learning, low-level features can be combined to form more-abstract, high-level representations, attribute categories, features, etc., which can be used for specific problems, such as classification, regression, and information retrieval. Machine learning is a branch of computer science aimed at achieving computer intelligence through a variety of algorithms. Deep learning is a new research field. By learning to automatically build a feature extractor, a neural network can be formed that can simulate a human brain's ability to interpret data, which will achieve the purpose of solving problems. This article analyzes the theory of a deep learning network model. Then, it analyzes the application of deep learning in ocean big data mining.