TensorFlow released its new version 2.4 earlier this week. This version promises increased support for distributed training, a new NumPy frontend, and methods for monitoring and diagnosing bottlenecks. Notably, this release comes around the same time TensorFlow celebrated five years of its existence. Another important coincidence is that this release comes on the heels of…

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