-
**Notebook title**: Variational Inference: Bayesian Neural Networks
**Notebook url**: https://www.pymc.io/projects/examples/en/latest/variational_inference/bayesian_neural_network_advi.html
## Iss…
-
Work with multi-layer bayesian neural networks and compare it with more classical methods (ADVI).
-
Write notebook on bayesian neural networks
-
### Issue Type
Bug
### Source
binary
### Keras Version
2.16.0
### Custom Code
No
### OS Platform and Distribution
Linux Ubuntu 20.04
### Python version
3.10
### GPU model and memory
_No r…
-
I think that Bayesian neural networks would be a natural successor to our tutorials on Bayesian GLMs.
As far as the neural network library to use, I think [Flux](https://github.com/FluxML/Flux.jl) …
-
See: https://arxiv.org/pdf/1502.05700.pdf
-
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…
-
**Summary !!!**
- **BioModel Name**: Beker2020 - Drug-likeness prediction based on Bayesian neural networks
- **BioModel Tag**: Machine learning model, Ersilia, FAIR AIML
- **Metadata Comment…
-
Hi,
I am trying to use tensorflow probability to learn a Bayesian neural networks. I want to learn the responses y_t based on input features x_t, i.e.
` y_t = f(x_t) + eps`
where f(x_t) is th…
-
# Neural Likelihood Free Inference – List of papers using Neural Networks for Bayesian Likelihood-Free Inference
List of papers using Neural Networks for Bayesian Likelihood-Free Inference
[https://…