Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Machine Learning
Dropout as a Bayesian approximation reframes a widely used regularization technique as a practical path toward quantifying uncertainty in deep learning. Instead of treating drop...
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