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Attention Models are useful to detect specific features in a data source. We'll explain how it can be applied to the risk of heart failure.
In this week we'll explain the fundamentals of Graph Neural Networks.
We'll explain the principles behind Memory Networks and how they can be used for predictions in medical applications.
We'll discuss Generative Networks, as well as the method of Variational Autoencoder