Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with bayesian-deep-learning
Search options questions only
not deleted
user 30885
For questions related to Bayesian deep learning, that is, Bayesian techniques applied to deep learning models (i.e. neural networks).
2
votes
1
answer
1k
views
Why is neural networks being a deterministic mapping not always considered a good thing?
Why is neural networks being a deterministic mapping not always considered a good thing?
So I'm excluding models like VAEs since those aren't entirely deterministic. I keep thinking about this and my …
- 805
3
votes
0
answers
88
views
Why does this formula $\sigma^2 + \frac{1}{T}\sum_{t=1}^Tf^{\hat{W_t}}(x)^Tf^{\hat{W_t}}(x_t...
How does:
$$\text{Var}(y) \approx \sigma^2 + \frac{1}{T}\sum_{t=1}^Tf^{\hat{W_t}}(x)^Tf^{\hat{W_t}}(x_t)-E(y)^TE(y)$$
approximate variance?
I'm currently reading What Uncertainties Do We Need in Bayes …
- 805
4
votes
1
answer
128
views
Is there any research on models that provide uncertainty estimation?
Is there any research on machine learning models that provide uncertainty estimation?
If I train a denoising autoencoder on words and put through a noised word, I'd like it to return a certainty that …
- 805