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How to Deploy TensorFlow Model Endpoints on AWS
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How to Deploy TensorFlow Model Endpoints on AWS
If you’re working with TensorFlow models in SageMaker and want to deploy your trained model as an endpoint, but encounter issues with model saving and deployment, here’s a simple step-by-step guide to get it done smoothly. First, it’s important to understand that SageMaker’s TensorFlow container expects models to be saved in a specific format called the SavedModel directory structure. When you save your model using Keras’s save_model function wi…
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