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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 learned about the architecture of the deploying TensorFlow with AWS Lambda, in which we covered the possible options of deploying TensorFlow with AWS Lambda along with each of its pros and cons. We also discussed the general issues with deploying Python frameworks in AWS Lambda along with its solutions. Lastly, we deployed TensorFlow on AWS Lambda using the pre-existing pack and using a serverless framework.

In the next chapter, we'll  create deep learning API using AWS Lambda.

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