-
Let's depreciate the support for `Tracker` (we mention `Tracker`in various autodiff doc pages) since it is no longer actively maintained and is known to be problematic for some Bijectors.
-
Write notebook on bayesian neural networks
-
Hello Juan,
I found your post "Flax and Numpyro Toy Example" very cool and interesting. As a PYMC user I wanted to see if I could achieve similar results using PYMC. You can see my implementation at …
-
**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).
-
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) …
-
In the [Bayesian Neural Network ](https://turing.ml/dev/tutorials/03-bayesian-neural-network/) tutorial, there is code for a "Generic Bayesian Neural Network," that rebuilds the Flux model with the ne…
-
Port current example into colab. Add text from
+ http://edwardlib.org/tutorials/bayesian-neural-network
-
File: https://github.com/pymc-devs/pymc-examples/blob/main/examples/variational_inference/bayesian_neural_network_advi.ipynb
Reviewers:
> The sections below may still be pending. If so, the issue is …
-
The default prior in `Convolution3DReparametrization()` is `tfp.layers.default_multivariate_normal_fn` which is an isotrophic Gaussian with mean 0 and standard devitaion1. The posterior is `tfp_layers…