HPE2-N69 Exam Dumps | Where does TensorFlow fit in the ML/DL Lifecycle?

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Where does TensorFlow fit in the ML/DL Lifecycle?

A. It is primarily used to transport trained models to a deployment environment.

B. it provides pipelines to manage the complete lifecycle.

C. it helps engineers use a language like Python to code and trail DL models.

D. It adds system and GPU monitoring to the training process.

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