Suggestions for further exploration after deploying Kubeflow on GCP
- Run a full ML workflow on Kubeflow, using the end-to-end MNIST tutorial or the GitHub issue sumarization example.
- See how to customize your Kubeflow deployment on GKE.
- See how to upgrade Kubeflow and how to upgrade or reinstall a Kubeflow Pipelines deployment.
- Troubleshoot any issues you may find.
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Last modified 08.04.2019: Fixes up the GKE deployment and deletion guides. (#606) (85b33663)