What is Implicit Deep Learning?

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Prediction rules in deep learning are based on a forward, recursive computation through several layers. Implicit deep learning rules go much beyond, by relying on the solution of an implicit (or, “fixed-point”) equation that has to be numerically solved in order to make the prediction: for a given input vector u, the predicted vector y is of the form

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