Uncertainty in Deep Learning

@inproceedings{Gal2016UncertaintyID,
  title={Uncertainty in Deep Learning},
  author={Yarin Gal},
  year={2016}
}
Deep learning has attracted tremendous attention from researchers in various fields of information engineering such as AI, computer vision, and language processing [Kalchbrenner and Blunsom, 2013; Krizhevsky et al., 2012; Mnih et al., 2013], but also from more traditional sciences such as physics, biology, and manufacturing [Anjos et al., 2015; Baldi et al., 2014; Bergmann et al., 2014]. Neural networks, image processing tools such as convolutional neural networks, sequence processing models… CONTINUE READING
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