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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 pipeline

In the project files, we have the main Python file, the serverless configuration file, libraries files, and an inception module. The configuration file will be the same as the one we used in the previous chapter. We will look at the Python file. The main difference for our Python file will be that, instead of returning the string, we will send a message to another SQS query. Also, we will make Lambda accept the link to the image in the message, and then apply module to structure it. The deployment will be similar to the one in the previous section.

We will skip the deployment of the model, since we have covered it before.

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