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

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Deploying TensorFlow Models

In this chapter, we will discuss the TensorFlow framework. Initially. We will begin by describing how the various approaches for building the algorithms differ. We will also cover deep learning and how to train neural networks but, more importantly, you will learn how to use pre-trained neural networks in the application and where you can find them.

We will cover the following topics: 

  • Approaches for building algorithms
  • Why neural networks? 
  • Repositories for pre-trained TensorFlow models
  • An example of image captioning

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