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Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda by Rustem Feyzkhanov

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Processing workflow 

The processing workflow is an additional method for interaction between the different services. If you want to build a multi-step process in deep learning, it could mean loading the data, then pre-processing data and running the model on it. While you can put queries between each of these backend nodes, it would be very hard to monitor the processing for a single task. This is where the workflow can be extremely convenient. Basically, the workflow service takes care of the invocation of each node when needed and handles the intermediate state of the processing job. It allows you to have a high-level view of what is happening with each task, and track task failures and timeouts. Finally, it allows you to have very flexible ...

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