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

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Summary

In this chapter, we were introduced to AWS SQS, which included the features as well as a look at its pricing. We also created AWS SQS connection using both the AWS console and the serverless framework.

We learned about the deployment of the serverless.yml  configuration file and the index.py file. This chapter concluded with an example project, which was a deep learning pipeline.

In the next chapter, we will learn about creating crossing workflow by connecting an AWS Lambda instance and AWS functions where we will learn how to make deep learning workflow.

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