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</html><description>Description: Bayesian Recurrent Neural Networks (RNNs) are a type of recurrent neural network that combines the structure of recurrent neural networks with principles of Bayesian inference. This allows the model not only to learn patterns in sequential data, such as text or time series, but also to estimate the uncertainty associated with its predictions. Unlike [&hellip;]</description></oembed>
