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Attendees will gain experience training, analyzing, and serving real-world Keras/TensorFlow 2.0 models in production using model frameworks and open-source tools.
In this workshop, we build real-world AI and machine learning pipelines using Kubeflow, TensorFlow, TensorFlow Extended (TFX), Keras, PyTorch, and Amazon SageMaker.
Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google.
KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking.
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