From Experimentation to Products - The Production Machine Learning Journey

From Experimentation to Products - The Production Machine Learning Journey

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TFX pipeline nodes

19 of 22

19 of 22

TFX pipeline nodes

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Classroom Contents

From Experimentation to Products - The Production Machine Learning Journey

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  1. 1 Intro
  2. 2 Production ML
  3. 3 We need MLOps
  4. 4 Continuous integration, deployment and testing
  5. 5 MLOps level 0: Manual Process
  6. 6 Experiment
  7. 7 Tales from the trenches
  8. 8 TensorFlow Extended TFX
  9. 9 TFX production components
  10. 10 What is a TFX component?
  11. 11 TFX orchestration
  12. 12 Difference between TFX & Kubeflow pipelines
  13. 13 Distributed pipeline processing: Apache Beam
  14. 14 TFX standard components
  15. 15 Components: ExampleGen, StatisticsGen & SchemaGen
  16. 16 Components: ExampleValidator, Transform & Trainer
  17. 17 Components: Tuner, Evaluator & InfraValidator
  18. 18 Components: Pusher & BulkInferrer
  19. 19 TFX pipeline nodes
  20. 20 TRFX custom components
  21. 21 Very high level architecture
  22. 22 Outro

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