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

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Where serverless deep learning works and where it doesn't work?

Serverless deep learning deployment is very scalable, simple, and cheap to start. The downsides of it are the time limitations, CPU limitations, and memory limitations. 

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