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tensorflow_probability 0.7.0.
tensorflow 1.14.0
I try to build a bayesian neural network like the following. I already know, that the loss has to be scaled in every tfp layer to the total number o…
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# Background
During testing of recent documentation changes, and a small readability refactor, a fatal error condition I had written surfaced. During inspection I found that the Infected layer is wil…
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Thanks for an excellent and well thought out framework.
It looks like from a model evaluation perspective - freeze/unfreeze have no role to play . To predict on a held out set it is enough to set t…
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@yookoon Thank you for the interesting work and the code repository. We are trying to support your proposed method in our UQ-Library for Deep Learning called [Lightning-UQ-Box](https://github.com/ligh…
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Dear tfp devs
Firstly, thank you for this magnificent package!
I have tried using mixed precision the same way as with base tf(it works on tf). Unfortunately an error occurs:
`Tensor conversion…
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I ran ``coverage run --source=robo -m unittest discover test -v`` and got
```
======================================================================
ERROR: test_bayesian_optimization (test_fmin.t…
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The following contrived snippet will freeze after some random number of epochs without displaying any error messages. I came across this bug while testing something; it's not blocking me. I just want …
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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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Hi everyone. I am trying to implement the [Deep Bayesian Model Discovery ](https://docs.sciml.ai/Overview/stable/showcase/bayesian_neural_ode/)on the Lotka-Volterra model discussed in the [Automated D…
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Correct me if I'm wrong, but (and I see this is a recurring issue) since the tuner seems to tune hyperparameters regardless of whether they're active or not, wouldn't this have an effect on the way Ba…