Topic

TensorFlow

Latest viewpoints

Machine learning frameworks should abstract away computing infrastructure

Dean says a central TensorFlow design principle was allowing researchers to express machine-learning computations independently from the specific CPUs, GPUs, or distributed resources used to execute them.

Jeff Dean TensorFlow Source at 12:47

TensorFlow should have adopted eager execution earlier

Dean identifies the absence of eager execution in early TensorFlow as a design weakness and says the later addition improved the framework's abstraction.

Jeff Dean TensorFlow Source at 14:45

TensorFlow contrib created unnecessary fragmentation for users

Dean says allowing many alternative helper libraries inside TensorFlow's contrib directory confused users and that those extensions would have been better maintained separately on top of a smaller core.

Jeff Dean TensorFlow Source at 15:05

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