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Feb 12, 2019
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update link to correct docs #164

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2 changes: 1 addition & 1 deletion README.rst
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Expand Up @@ -175,7 +175,7 @@ models, with more frameworks coming soon.

Support for using TensorFlow serving with Amazon Elastic Inference in SageMaker is supported in the public SageMaker TensorFlow containers.

* For information on how to use the Python SDK to create an endpoint with Amazon Elastic Inference and TensorFlow serving in SageMaker, see `Deploying from an Estimator <https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/tensorflow/deploying_tensorflow_serving.rst#deploying-from-an-estimator>`__.
* For information on how to use the Python SDK to create an endpoint with Amazon Elastic Inference and TensorFlow serving in SageMaker, see `Deploying from an Estimator <https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/tensorflow/deploying_python.rst#deploying-from-an-estimator>`__.
* For information on how Amazon Elastic Inference works, see `How EI Works <https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html#ei-how-it-works>`__.
* For more information in regards to using Amazon Elastic Inference in SageMaker, see `Amazon SageMaker Elastic Inference <https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html>`__.
* For notebook examples on how to use Amazon Elastic Inference with TensorFlow serving through the Python SDK in SageMaker, see `EI Sample Notebooks <https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html#ei-intro-sample-nb>`__.
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