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 autoencoders
Search options not deleted
user 212133
Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.
9
votes
2
answers
5k
views
How does the bottleneck z dimension affect the reconstruction loss in VAEs
I have come across few VAE papers that all report a similar metric bits/dim
Many (if not all) fail to mention the bottleneck size of the z space. I do know that this would directly affect the recons …
- 505
2
votes
Autoencoder learning average of training Images
Good to see you figured out you initialized the weights to 0. But this shouldn't be a direct cause for the above effect by itself. The reason is that you have a posterior collapse, this means your dec …
- 505