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Large Parallel Process Applications, Especially Neural Networks. Applications Can Run On Traditional High-performance Graphics Process Units Or Tensor Process Units. These Processors Are Also Develop And Provid Exclusively For Accelerat Operations. Is An Open Source Deep Learn And Machine Learn Framework Bas On Programm Languages ​​and Libraries. It Is Design To Ruce The Time It Takes Data Scientists And Developers To Go From Prototyp A Machine Learn Algorithm To Deploy It. Consider Easier To Use Compar To. Support For Distribut Train Allows You To Run Large-scale Italy WhatsApp Number List Models On Multiple Physical Machines. It Allows Export Models Us The Open Neural Network Exchange Format, Mak It Easy To Share Deep Learn Models And Reuse Models Creat By Others. It Is Highly Compatible With Open.

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