Google Cloud Platform1.18 млн
Опубликовано 23 мая 2020, 23:00
Overview of Kubeflow Pipelines → goo.gle/2WH5DHV
Continuous training in production, automatic tracking of metadata, and reusable ML components! These are just some of the ways that Kubeflow Pipelines handle the orchestration of ML workflows. In this episode of Kubeflow 101, Stephanie Wong shows you how Kubeflow Pipelines makes ML workflows easily composable, shareable, and reproducible.
Watch more episodes of Kubeflow 101 → goo.gle/3cqY2lR
Subscribe to the GCP Channel → goo.gle/GCP
Product: Kubeflow, Kubeflow Pipelines; fullname: Stephanie Wong;
#Kubeflow101
Continuous training in production, automatic tracking of metadata, and reusable ML components! These are just some of the ways that Kubeflow Pipelines handle the orchestration of ML workflows. In this episode of Kubeflow 101, Stephanie Wong shows you how Kubeflow Pipelines makes ML workflows easily composable, shareable, and reproducible.
Watch more episodes of Kubeflow 101 → goo.gle/3cqY2lR
Subscribe to the GCP Channel → goo.gle/GCP
Product: Kubeflow, Kubeflow Pipelines; fullname: Stephanie Wong;
#Kubeflow101
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