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Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Dropout As A Bayesian Approximation: Code
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
What My Deep Model Doesn't Know...
Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.