Completed
Workflow for Hyperparameter Tuning
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Hyperparameter Tuning Using Kubeflow
Automatically move to the next video in the Classroom when playback concludes
- 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?
