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

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Image captioning example

Image captioning is a task where we need to recognize an object on the image. Although it sounds simple, it was considered one of the most difficult problems in computer vision since it was close to impossible to make a separate detector for each type of object. The main way to test the image captioning algorithm is to run it on the ImageNet dataset. The ImageNet dataset consists of 14 million images with over 20,000 labels. It was introduced in 2010. Every year, there's a competition of different models, and accuracy has significantly improved in recent years due to the introduction of complex neural networks.

There are a number of different models with different architectures that successfully work with ImageNet. ...

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