A Bayesian Approach to Recurrence in Neural Networks

24 Oct 2019Philip N. GarnerSibo Tong

We begin by reiterating that common neural network activation functions have simple Bayesian origins. In this spirit, we go on to show that Bayes's theorem also implies a simple recurrence relation; this leads to a Bayesian recurrent unit with a prescribed feedback formulation... (read more)

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