What's up with Tensorflow? #135
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TensorFlow and Kubeflow are very different and very complimentary TensorFlow is a framework for writing ML algorithms (particular deep learning). Kubeflow is about making it easy to run TensorFlow and other pieces of an ML platform (e.g. TensorBoard) on Kubernetes. |
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Cool
Jeremy Lewi <notifications@github.com> wrote:
TensorFlow and Kubeflow are very different and very complimentary
TensorFlow is a framework for writing ML algorithms (particular deep learning).
Kubeflow is about making it easy to run TensorFlow and other pieces of an ML platform (e.g. TensorBoard) on Kubernetes.
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yanniszark
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* The GKEDemo is using the GitHub summarization example; I think we should put all of the code for that demo kubeflow/examples (see kubeflow/examples#161) * The main code is the Katib HP controller git-issue-summarize-demo.go * We don't need the manifests for deploying katib because we can deploy Katib using the Kubeflow ksonnet package. * The code in docker-image duplicates the code in kubeflow/examples so we shouldn't need it. Related to: kubeflow#116
elenzio9
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Is there any difference between Tensorflow and Kubeflow? Why are you developing both?
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