Questions tagged [bayesian-deep-learning]

For questions related to Bayesian deep learning, that is, Bayesian techniques applied to deep learning models (i.e. neural networks).

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6
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1answer
541 views

How should the neural network deal with unexpected inputs?

I recently wrote an application using a deep learning model designed to classify inputs. There are plenty of examples of this using images of irises, cats, and other objects. If I trained a data ...
30
votes
6answers
9k views

Why do CNN's sometimes make highly confident mistakes, and how can one combat this problem?

I trained a simple CNN on the MNIST database of handwritten digits to 99% accuracy. I'm feeding in a bunch of handwritten digits, and non-digits from a document. I want the CNN to report errors, so I ...
2
votes
1answer
44 views

How can supervised learning be viewed as a conditional probability of the labels given the inputs?

In the literature and textbooks, one often sees supervised learning expressed as a conditional probability, e.g., $\ \ \ \ \ \rho(\vec{y}|\vec{x},\vec{\theta})$ where $\vec{\theta}$ denotes a ...