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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 doesn't work?

Deep learning will not work in the following situations:

  • If one of the main features of your system is to provide a real-time response that is a very complex model; for example, if it is the part of an interaction between your user and the system, then the serverless architecture may not be enough for you. AWS Lambda has a cold start delay and the delay for the unloading and loading of the model into the memory. It does work fast, but it may take more than several seconds to run. Speed highly depends on the size and complexity of the model, so this is something you have to test beforehand.
  • Serverless deep learning may fail if your model utilizes a lot of data. AWS Lambda has certain limitations, ...

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