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For questions related to Bayesian deep learning, that is, Bayesian techniques applied to deep learning models (i.e. neural networks).
2
votes
Accepted
KL loss not changing in a Bayesian Neural Network?
This looks like more underfitting than other issue.
But you are overlooking that Bayes by Backprop is an approximation to Bayesian principles, because a true Bayesian NN is not tractable, you are usin …
35
votes
Accepted
Why do CNN's sometimes make highly confident mistakes, and how can one combat this problem?
The concept you are looking for is called epistemic uncertainty, also known as model uncertainty. You want the model to produce meaningful calibrated probabilities that quantify the real confidence of …