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Concepts: Experiment
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Classroom Contents
Hyperparameter Tuning Using Kubeflow
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- 1 Intro
- 2 An Example: Digits Recognition with MNist
- 3 What is Hyperparameter Tuning?
- 4 Why is Hyperparameter Tuning Hard?
- 5 How does Kubernetes Help?
- 6 Introducing Kubeflow
- 7 Katib: Hyperparameter Tuning in Kubeflow
- 8 Concepts: Experiment
- 9 Concepts: Suggestion
- 10 Concepts: Trial
- 11 Workflow for Hyperparameter Tuning
- 12 System Architecture
- 13 Demo: Setting Up an Experiment
- 14 Demo: Configuring Search Space
- 15 Demo: Viewing Experiment Results
- 16 Demo: Viewing Trial Metrics
- 17 Classical vs Automated Machine Learning
- 18 Landscape of Automated Machine Learning
- 19 Workflow for Neural Architecture Search
- 20 What's Coming?
- 21 How to Contribute?
