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

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Example project – deep learning workflow

First, let's take a look at our following project files. We have the main Python file, the service integration file, and a few libraries and inception models. In the configuration file, we will be adding a few plugins and describing step functions, which is a complex thing. 

The main difference with our Python file will be that we will have three functions . One will map a list of URL links into separate things. Another will run a model on the link. The final one will combine the results. The structure of the deployment will be similar to the one in the previous section. We will skip the deployment of the model to S3, since we covered it in the previous chapter.

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