Published on April 21, 2018 by

In this episode of TensorFlow Meets, Laurence Moroney sits down with Derek Murray to discuss the latest on Together, they discuss the impact of building fast, flexible, & efficient input pipelines with the API. Derek also touches on achieving performance benchmarks, the addition of convenient functions to make it easier for the TensorFlow community to get started, and datasets auto-tuning. Let us know what you think in the comments below! Performance Guide →
Derek’s talk at #TFDevSummit →
Kaggle Datasets →

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