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

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Why serverless deep learning?

Let's understand why the severless infrastructure is extremely useful for deploying deep learning models in a data science process.

The usual data science process looks like:

  • Business understanding: You need to understand the business needs, which includes defining the objectives and the possible data sources.
  • Data acquisition: You need to look into the data you are planning to use, explore it, and try to find correlations and gaps.
  • Modeling: You start with the selection of most promising features, building the model, and training it.
  • Deployment: You need to operationalize the model and deploy it.
  • Customer acceptance: You can provide the result to the customer and receive feedback.

The preceding points are ...

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