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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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'The labels are then decided based on a threshold (a) for the percentage change (lt).' What is the method which can be used to set the value of the threshold?
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# Bayesian Convolutional Neural Network | Chan`s Jupyter
In this post, we will create a Bayesian convolutional neural network to classify the famous MNIST handwritten digits. This will be a probabili…
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Pose a question about one of the following articles:
“[Deep neural networks are more accurate than humans at detecting sexual orientation from facial images](https://psycnet.apa.org/doiLanding?doi…
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Hi, I have read your explanation about Bayesian neural network, aleatoric uncertainty and epistemic uncertainty. It is very excellent and straightforward. But I also notice an interesting phenomenon t…
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I think an updated readme will help to see how different components are connected, even if the structure of the project might change. I'll volunteer to do this since it will help me get a better sense…
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# Uncertainty Quantification of ML models: From Introduction to Advanced
# Responsible person(s)
Sebastian Starke, , HZDR,
Steve Schmerler, HZDR, @elcorto
Peter Steinbach, HZDR, @psteinb
G…
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It'd be great to have high profile model examples which we can highlight on the front page. Some ideas:
- [x] Bayesian linear regression
- [x] Hierarchical generalized linear model
- [x] Mixture mo…
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I've been working a bit on Bayesian Neural Networks in PyMC3 (here is the blog post: http://twiecki.github.io/blog/2016/06/01/bayesian-deep-learning/). I wonder if it would be possible to use Lasagne …