The practicalities of scaling Bayesian neural networks to real-world applications
<p>In this work, I will focus on ways in which we can build machine learning models that appropriately account for uncertainty, whether with computationally cheap estimates or with more expensive and reliable ones. In particular, I will explore how we can model distributions with Bayesian neur...
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| Materialtyp: | Lärdomsprov |
| Språk: | English |
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2020
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