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- Yarin gal dissertation in 2021
- Yarin gal dropout
- Yarin gal cv
- Machine learning dissertation pdf
- What uncertainties do we need in bayesian deep learning for computer vision?
- Yarin gal google scholar
- Yarin gal bayesian deep learning
- Dropout as a bayesian approximation: representing model uncertainty in deep learning
Yarin gal dissertation in 2021
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Yarin gal dropout
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Yarin gal cv
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Machine learning dissertation pdf
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What uncertainties do we need in bayesian deep learning for computer vision?
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Yarin gal google scholar
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Yarin gal bayesian deep learning
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Dropout as a bayesian approximation: representing model uncertainty in deep learning
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What was the thesis of Yarin gal's PhD?
For others I would suggest starting with the introduction: The Importance of Knowing What We Don't Know . Some of the work in the thesis was previously presented in [ Gal, 2015; Gal and Ghahramani, 2015 a, b, c, d; Gal et al., 2016 ], but the thesis contains many new pieces of work as well.
How does bayesian deep learning relate to regularization?
The resulting network learns to be explicitly robust to pruning, comparing favourably to more complicated regularization schemes while at the same time being extremely simple to implement, and easy to tune. Like all sub-fields of machine learning, Bayesian Deep Learning is driven by empirical validation of its theoretical proposals.
How to obtain uncertainty in deep learning ( PhD thesis )?
So I finally submitted my PhD thesis (given below ). In it I organised the already published results on how to obtain uncertainty in deep learning, and collected lots of bits and pieces of new research I had lying around (which I hadn't had the time to publish yet).
Last Update: Oct 2021