tf.data: TensorFlow Input Pipeline
Data Orchestration Summit 2019 organized by Alluxio
www.alluxio.io/data-orchestration-summit-2019
November 7, 2019
Speaker: Jiri Simsa (Tech Lead of tf.data Project & Software Engineer, Google)
tf.data is the recommended API for creating TensorFlow input pipelines and is relied upon by countless external and internal Google users. The API enables you to build complex input pipelines from simple, reusable pieces and makes it possible to handle large amounts of data, different data formats, and perform complex transformations. In this talk, I will present an overview of the project and highlight best practices for creating performant input pipelines.
For more Alluxio events: https://www.alluxio.io/events/
Видео tf.data: TensorFlow Input Pipeline канала Alluxio
www.alluxio.io/data-orchestration-summit-2019
November 7, 2019
Speaker: Jiri Simsa (Tech Lead of tf.data Project & Software Engineer, Google)
tf.data is the recommended API for creating TensorFlow input pipelines and is relied upon by countless external and internal Google users. The API enables you to build complex input pipelines from simple, reusable pieces and makes it possible to handle large amounts of data, different data formats, and perform complex transformations. In this talk, I will present an overview of the project and highlight best practices for creating performant input pipelines.
For more Alluxio events: https://www.alluxio.io/events/
Видео tf.data: TensorFlow Input Pipeline канала Alluxio
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