A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists

@article{Shen2018ATR,
  title={A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists},
  author={Chaopeng Shen},
  journal={Water Resources Research},
  year={2018},
  volume={54},
  pages={8558 - 8593}
}
  • Chaopeng Shen
  • Published 6 December 2017
  • Computer Science
  • Water Resources Research
Deep learning (DL), a new generation of artificial neural network research, has transformed industries, daily lives, and various scientific disciplines in recent years. DL represents significant progress in the ability of neural networks to automatically engineer problem‐relevant features and capture highly complex data distributions. I argue that DL can help address several major new and old challenges facing research in water sciences such as interdisciplinarity, data discoverability… 
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