TensorFlow Extended

TensorFlow Extended

TensorFlow via YouTube Direct link

Why do I need metadata? (TensorFlow Extended)

4 of 19

4 of 19

Why do I need metadata? (TensorFlow Extended)

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TensorFlow Extended

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  1. 1 ML engineering for production ML deployments with TFX (TensorFlow Fall 2020 Updates)
  2. 2 What exactly is this TFX thing? (TensorFlow Extended)
  3. 3 How do TFX pipelines work? (TensorFlow Extended)
  4. 4 Why do I need metadata? (TensorFlow Extended)
  5. 5 Distributed Processing and Components (TensorFlow Extended)
  6. 6 Model Understanding and Business Reality (TensorFlow Extended)
  7. 7 TFX: Production ML pipelines with TensorFlow (TF World '19)
  8. 8 Day 2 Keynote (TF World '19)
  9. 9 Machine Learning Fairness: Lessons Learned (Google I/O'19)
  10. 10 TensorFlow Extended (TFX) Overview and Pre-training Workflow (TF Dev Summit '19)
  11. 11 TensorFlow Extended (TFX) Post-training Workflow (TF Dev Summit '19)
  12. 12 TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)
  13. 13 TFX: Production ML with TensorFlow in 2020 (TF Dev Summit '20)
  14. 14 Taking Machine Learning from Research to Production • Robert Crowe • GOTO 2019
  15. 15 SysML 19: Martin Zinkevich, Data Validation for Machine Learning
  16. 16 Continuous retraining with TFX and Beam
  17. 17 ML Summit: Predict | ML Engineering for Production ML Deployments
  18. 18 From Experimentation to Products: The Production Machine Learning Journey • Robert Crowe • GOTO 2021
  19. 19 Machine Learning Engineering for Production (MLOps)

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