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Hi,
Can you please share the code related to your [talk](https://www.youtube.com/watch?v=s0S6HFdPtlA) on youtube. I just watched the video, and it was interesting. However, I couldn't find the note…
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Hi @VietTran86 !
Really like the repo! would like to use it for further university work.
Was just wondering if other examples are planned to be added.
Many thanks,
Best,
Andrew
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https://arxiv.org/pdf/1604.02336.pdf
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Hi, team!
I'm interested in it but it's hard to get it.
I have some questions about wide networks.
1) What's the prediction of wide networks, e.g., NNGP? Evaluated mean of GP? Is it deterministic? If …
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https://arxiv.org/abs/1712.01076v1
TMats updated
6 years ago
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If the model is Bayesian, the intervals should account for the uncertainty in the parameters. Bootstrapping is an option for the frequentist approach.
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- Bayesian Neural Network on MNIST (maybe CIFAR). Pick the gold standard architecture for the HMC model here https://arxiv.org/pdf/2102.06559.pdf.
- Bayesian ICA from the SGLD paper https://www.stat…
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I know that one of the main benefits of a BNN is the ability to gauge the confidence of a prediction. I understand why this can be important for various applications but i am more concerned about the …
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I am really a beginner in this field and having a hard time to learn theory and practical implementations at the same time. Can someone provide an example on variational inference on some simple model…
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Hi,I‘m new to Edward. I wondering whether it can read a bayes network or in what file format of bayes network can it read.
THANK YOU!