Deep learning is now being used By Google for Precipitation forecast

Beside the methods of forecasting weather by observing temperature and wind patterns, Google is now using Deep Learning in 12 hour precipitation forecast.

Deep learning has effectively been applied to a wide scope of significant difficulties, like disease anticipation and expanding availability.

The use of Deep learning models to climate figures can be applicable to individuals on an everyday premise, from assisting individuals with arranging their day to overseeing food creation, transportation frameworks, or the energy network.

Climate conjectures commonly depend on customary physical science based methods controlled by the world’s biggest supercomputers.

Such strategies are compelled by high computational prerequisites and are touchy to approximations of the actual laws on which they are based.

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