Kubeflow: TensorFlow on Kubernetes with David Aronchick (Repeat)
Originally published January 25, 2019 When TensorFlow came out of Google, the machine learning community converged around it. TensorFlow is a framework for building machine learning models, but the lifecycle of a machine learning model has a scope that is bigger than just creating a model. Machine learning developers also need to have a testing
The post Kubeflow: TensorFlow on Kubernetes with David Aronchick (Repeat) appeared first on Software Engineering Daily.
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