Learning whether and how much it's raining improves deep-learning models

Concentrating on one thing at a time might seem like a good strategy when you're trying to learn something. But now, researchers from the Institute of Industrial Science at the University of Tokyo have found that simultaneously learning two tasks helps a deep-learning model perform better on both when retrieving precipitation information from satellite data.

from News on Artificial Intelligence and Machine Learning https://ift.tt/VT4iLtX

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