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 transformers
Search options not deleted
user 291892
Transformers are part of a deep learning model family using the attention mechanism to learn how to make prediction over sequential data without the need for recursion.
0
votes
0
answers
13
views
the attention map fades - is this normal?
I’m currently working on building a Vision Transformer (ViT), and so far, things seem to be going well — low loss values, high accuracy. However, when I visualized the attention maps, I noticed that t …
