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Deep Learning for Hydrometeorology and Environmental Science

 Author: Taesam Lee, Vijay P. Singh, Kyung Hwa Cho  Publisher: © Springer Nature Switzerland AG  Published: September 23, 2021  ISBN: 978-3-030-64777-3  Pages: 215  Country: Switzerland  Language: English  View

Deep learning has been popularly employed for analysis and forecasting in various fields. In this chapter, a brief introduction of deep learning is presented, including the definition and pros and cons of deep learning, followed by the recent applications of deep learning models in hydrological and environmental fields. The structure of the remaining chapters for this book is also explained.

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