Serve Keras Model with Tensorflow Serving On AWS Sagemaker

Part II - Deploying Keras Model on Sagemaker using Docker and Tensorflow Serving

In Part I of the series, we converted a Keras models into a Tensorflow servable saved_model format and serve and test the model locally using tensorflow_model_server. Now we should put it in a Docker container and launch it to outer space AWS Sagemaker. The process will be propelled by lots... [Read More]