In this episode of TensorFlow Meets, Laurence Moroney sits down with Derek Murray to discuss the latest on tf.data. Together, they discuss the impact of building fast, flexible, & efficient input pipelines with the tf.data API. Derek also touches on tf.data 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!
Published on April 21, 2018 by Carlo LepelaarsCategory AI Deep Learning Interview Tensorflow Tag A.I. (Artificial Intelligence) Deep Learning Google Interview Tensorflow
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