Examples that demonstrate machine learning with Kubeflow

MNIST image classification

Last update 2022/07/06 Kubeflow v1.0.0

Train and serve an image classification model using the MNIST dataset. This tutorial takes the form of a Jupyter notebook running in your Kubeflow cluster. You can choose to deploy Kubeflow and train the model on various clouds, including Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM Cloud, Microsoft Azure, and on-premises. Serve the model with TensorFlow Serving.

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Financial time series

Last update 2022/02/10 Kubeflow v0.7

Train and serve a model for financial time series analysis using TensorFlow on Google Cloud Platform (GCP). Use the Kubeflow Pipelines SDK to automate the workflow.

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Next steps

Work through one of the Kubeflow Pipelines samples.


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