Inside TensorFlow - tf.data + tf.distribute

Inside TensorFlow - tf.data + tf.distribute

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tf.data Options

10 of 24

10 of 24

tf.data Options

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Inside TensorFlow - tf.data + tf.distribute

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  1. 1 Intro
  2. 2 ML Building Blocks
  3. 3 TensorFlow APIs
  4. 4 Why input pipeline?
  5. 5 tf.data: TensorFlow Input Pipeline
  6. 6 Input Pipeline Performance
  7. 7 Software Pipelining
  8. 8 Parallel Transformation
  9. 9 Parallel Extraction
  10. 10 tf.data Options
  11. 11 TFDS: TensorFlow Datasets
  12. 12 Why distributed training?
  13. 13 tf.distribute. Strategy API
  14. 14 How to use tf.distribute.Strategy?
  15. 15 Multi-GPU all-reduce sync training
  16. 16 All-Reduce Algorithm
  17. 17 Synchronous Training
  18. 18 Multi-GPU Performance ResNetso v1.5 Performance with
  19. 19 Multi-worker all-reduce sync training
  20. 20 All-reduce sync training for TPUs
  21. 21 Parameter Servers and Workers
  22. 22 Central Storage
  23. 23 Programming Model
  24. 24 What's supported in TF 2.0 Beta

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